Data Engineer jobs at GM Financial

Manager, Product Design Product Design Manager (Individual Contributor) We're currently seeking a Product Designer to join our Experience Design team. We're passionate about creating memorable, meaningful product experiences that build the Capital One brand with humanity and drive business advantage and innovation. The Experience Design team at Capital One is at the forefront of enriching our customers' digital and physical experiences. We champion a thriving environment of collaboration, authenticity and healthy critique, in which we honor diversity of thought, create a culture of belonging, and elevate one another. If you're a creative innovator who embraces an environment where you can experiment, learn, and change banking for good, we'd love to hear from you. Role Expectations As a Product Designer, you'll combine your craft expertise and leadership skills with an understanding of our customers and the business to co-create innovative solutions to complex problems and influence product strategy. Here are some of the expected competencies for this role: Product Design Expertise: Demonstrate a high degree of skill in product design, leveraging a variety of skills across interaction, visual and service design; in collaboration with cross-functional partners, inform the use of appropriate tools, platforms, frameworks and design systems and creates artifacts that may include journey maps, blueprints, high-fidelity designs and prototypes Leadership: Lead design projects, directing and delegating work for more junior team members and building strong partnerships with cross-functional stakeholders while also mentoring and helping to mature the overall product design practice at Capital One Human-Centered: Effectively navigate the needs of partners and stakeholders, leveraging critical-thinking skills that factor in data, research insights, scalability and tech constraints, while ensuring the team focuses on customer-centered solutions and inclusive design Business-Focused: Demonstrate proficiency with products and processes and apply relevant insights on customers, competitors and broader market trends to business challenges that shape a shared point of view for your team, partners and stakeholders Problem-Solving: Demonstrate a solid understanding of tech, data capabilities and emerging technologies and use this knowledge to inform your work and help your cross-functional team move faster and navigate technical limitations in service of the impactful solutions Collaboration: Leverage a rich network of partnerships across lines of business and the organization to foster collaboration and share solutions, incorporating cross-functional perspectives to bridge gaps in information and drive product strategy Communication: Present work across levels and job functions using a human-centered approach that integrates design frameworks, data and research insights to articulate a compelling point of view that influences strategic decision-making and direction at senior levels The ideal candidate has a strong portfolio demonstrating your leadership, process, results and impact. Basic Qualifications At least 5 years of experience in a Product Design role At least 5 years of experience in design and prototyping tools such as Figma Preferred Qualifications At least 6 years of experience in a Product Design role At least 6 years of experience in design and prototyping tools such as Figma Experience working with and contributing to an established design system Experience collaborating with product, tech and business partners Experience leading design projects or teams Experience working in heavily regulated, data heavy problem spaces At this time, Capital One will not sponsor a new applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Plano, TX: $144,000 - $164,400 for Manager, Design Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at ************** or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to ********************** Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Capital One Software is seeking a Lead Data Engineer who is passionate about marrying innovation with emerging technologies. In 2022, we publicly announced Capital One Software and have since brought two of our B2B software solutions to market; Slingshot and Databolt. Building on Capital One's pioneering adoption of modern cloud and data capabilities, Capital One Software is helping accelerate the data management journey at scale for businesses operating in the cloud. If you think of the kind of challenges that companies face - things like data publishing, data consumption, data governance, and infrastructure management - we've built tools to address these various needs along the way. Capital One Software will continue to explore where we can bring our solutions to market to help other businesses address these same needs going forward. We are seeking top tier talent to join our pioneering team and propel us towards our destination. You will be joining a team of innovative product, tech, and design leaders that tirelessly seek to question the status quo. As a Capital One Lead Data Engineer you'll have the opportunity to build meaningful software that enables our customers to manage their data securely and efficiently at any scale. **What You'll Do:** + Collaborate with and across Agile teams to design, develop, test, implement, and support technical solutions in full-stack development tools and technologies + Work with a team of developers with deep experience in machine learning, distributed microservices, and full stack systems + Utilize programming languages like Java, Scala, Python and Open Source RDBMS and NoSQL databases and Cloud based data warehousing services such as Databricks and Snowflake + Share your passion for staying on top of tech trends, experimenting with and learning new technologies, participating in internal & external technology communities, and mentoring other members of the engineering community + Collaborate with digital product managers, and deliver robust cloud-based solutions that drive powerful experiences to help millions of Americans achieve financial empowerment + Perform unit tests and conduct reviews with other team members to make sure your code is rigorously designed, elegantly coded, and effectively tuned for performance **Basic Qualifications:** + Bachelor's Degree + At least 4 years of experience in application development (Internship experience does not apply) + At least 2 years of experience in big data technologies + At least 1 year experience with cloud computing (AWS, Microsoft Azure, Google Cloud) **Preferred Qualifications:** + 7+ years of experience in application development including Python, SQL, Scala, or Java + 4+ years of experience with a public cloud (AWS, Microsoft Azure, Google Cloud) + 4+ years experience with Distributed data/computing tools (Databricks, Spark, Kafka, EMR, Hadoop, MapReduce, Hadoop, Hive, Gurobi, or MySQL) + 4+ year experience working on real-time data and streaming applications + 4+ years of experience with NoSQL implementation (Mongo, Cassandra) + 4+ years of data warehousing experience (Snowflake) + 4+ years of experience with UNIX/Linux including basic commands and shell scripting + 2+ years of experience with Agile engineering practices **_At this time, Capital One will not sponsor a new applicant for employment authorization, or offer any immigration related support for this position (i.e. H1B, F-1 OPT, F-1 STEM OPT, F-1 CPT, J-1, TN, E-2, E-3, L-1 and O-1, or any EADs or other forms of work authorization that require immigration support from an employer)._** The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Remote (Regardless of Location): $175,800 - $200,700 for Lead Data Engineer Richmond, VA: $175,800 - $200,700 for Lead Data Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website (******************************************* . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days. No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at ************** or via email at RecruitingAccommodation@capitalone.com . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to ********************** Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Data is at the center of everything we do. As a startup, we disrupted the credit card industry by individually personalizing every credit card offer using statistical modeling and the relational database, cutting edge technology in 1988! Fast-forward a few years, and this little innovation and our passion for data has skyrocketed us to a Fortune 200 company and a leader in the world of data-driven decision-making. As a Data Scientist at Capital One, you'll be part of a team that's leading the next wave of disruption at a whole new scale, using the latest in computing and machine learning technologies and operating across billions of customer records to unlock the big opportunities that help everyday people save money, time and agony in their financial lives. **Team Description** Velocity Black by Capital One harnesses the power of artificial intelligence, the warmth of human experts and the convenience of the latest interfaces to help high-performance people actualize the full potential of their lives. It's concierge, reimagined for the digital age. By harnessing 24/7 chat, AI, and mobile payments, we help our customers do more and be more in the digital age. From access to the hottest restaurants to guaranteed upgrades at the world's finest resorts. Make a custom request through the app and you will be chatting to our team within 1 minute, 24/7/365. Velocity Black is on a mission to leverage technology to improve our operational efficacy and provide an extraordinary member experience. The Velocity Black AI and ML team is building the models that help provide personalized recommendations for our members. Our solutions are both: + Reactive: Match member requests to the best possible options based on their stated request parameters, preferences, and historical behavior, as well as incorporating the expertise of our human agents. + Proactive: Surface tailored, curated recommendations in-app, where content is filtered and personalized to each individual member, anticipating their needs and inspiring new booking experiences with us. The team is a combination of product managers, engineers, business analysts, and data scientists working in tandem to building AI/ML solutions from the ground up to help scale and improve our Velocity Black services. We are looking for someone passionate about digital servicing, customer experience, and personalization to work on our Velocity Black Concierge product. **Role Description** **In this role, you will:** + Lead the design, development, and maintenance of personalization and recommendation models. + Apply modern AI/ML methods (e.g. collaborative filtering, ensemble retrievers, embeddings, neural networks, LLM as a judge, etc.) to optimize and elevate member experiences + Collaborate with product/business and engineering to integrate models into our platform, including model registration and ongoing measurement. + Develop evaluation frameworks to monitor performance, bias, and accuracy of recommendations. + Champion data-driven decision making across the team. **The Ideal Candidate is:** + Customer first. You love the process of analyzing and creating, and you care about the user of the systems you create. You know at the end of the day it's about providing tooling to support our agents and enhancements to delight our customers. + Creative. You thrive on bringing definition to big, undefined problems. You love asking questions and brainstorming various technical methods and designs to find the best solutions. You're not afraid to share a new idea. + A leader. You challenge conventional thinking and work with stakeholders to identify and improve the status quo to advance us to the most cutting edge methods. You're passionate about talent development for your own team and beyond. + Technical. You're comfortable with all things model development, including from pulling together model input data from various sources to deciding on the appropriate methodology to helping to implement use cases within thoughtful architecture designs. You have hands-on experience developing data science solutions using open-source tools and cloud computing platforms. + A data guru. "Big data" doesn't faze you. You have the skills to retrieve, combine, and analyze data from a variety of sources and structures. You know understanding the data is often the key to great data science. **Basic Qualifications:** + Currently has, or is in the process of obtaining one of the following with an expectation that the required degree will be obtained on or before the scheduled start date: + A Bachelor's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) plus 6 years of experience performing data analytics + A Master's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) or an MBA with a quantitative concentration plus 4 years of experience performing data analytics + A PhD in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) plus 1 year of experience performing data analytics + At least 1 years of experience leveraging open source programming languages for large scale data analysis + At least 1 year of experience working with machine learning + At least 1 year of experience utilizing relational databases **Preferred Qualifications:** + PhD in "STEM" field (Science, Technology, Engineering, or Mathematics) + Strong proficiency in Python and SQL for large scale data analysis + At least 1 year of experience preparing and transforming large, messy, or sparse datasets for modeling + At least 1 year of experience designing, training, and deploying large-scale models in production + At least 1 year of experience in model lifecycle management and ML ops practices (monitoring, feature stores, retraining, experimentation, and A/B testing) + At least 1 year of experience collaborating cross-functionally with product and engineering to translate business problems into ML solutions + Familiarity with sophisticated ML approaches to personalization models or recommendation systems + Demonstrated ability to influence stakeholders and lead technical strategy Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. Capital One is open to hiring a Remote Employee for this opportunity The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Remote (Regardless of Location): $175,800 - $200,700 for Mgr, Data Science McLean, VA: $193,400 - $220,700 for Mgr, Data Science Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website (******************************************* . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days. No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at ************** or via email at RecruitingAccommodation@capitalone.com . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to ********************** Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Ever since our first credit card customer in 1994, Capital One has recognized that technology and data can enable even large companies to be innovative and personalized. As one of the first large enterprises to go all-in on the public cloud, Capital One needed to build cloud and data management tools that didn't exist in the marketplace to enable us to operate at scale in the cloud. And in 2022, we publicly announced Capital One Software and brought our first B2B software solution, Slingshot, to market. Building on Capital One's pioneering adoption of modern cloud and data capabilities, Capital One Software is helping accelerate the data management journey at scale for businesses operating in the cloud. If you think of the kind of challenges that companies face - things like data publishing, data consumption, data governance, and infrastructure management - we've built tools to address these various needs along the way. Capital One Software will continue to explore where we can bring our solutions to market to help other businesses address these same needs going forward. We are seeking top tier talent to join our pioneering team and propel us towards our destination. You will be joining a team of innovative product, tech, and design leaders that tirelessly seek to question the status quo. As a Capital One Distinguished Data Engineer, you'll have the opportunity to be on the forefront of building this business and bring these tools to market. **Responsibilities:** + Build awareness, increase knowledge and drive adoption of modern technologies, sharing consumer and engineering benefits to gain buy-in + Collaborate on Capital One's toughest issues, to deliver on business needs that directly impact the lives of our customers and associates + Strike the right balance between lending expertise and providing an inclusive environment where others' ideas can be heard and championed; leverage expertise to grow skills in the broader Capital One team + Promote a culture of engineering excellence, using opportunities to reuse and innersource solutions where possible + Effectively communicate with and influence key stakeholders across the enterprise, at all levels of the organization + Operate as a trusted advisor for a specific technology, platform or capability domain, helping to shape use cases and implementation in an unified manner + Lead the way in creating next-generation talent for Tech, mentoring internal talent and actively recruiting external talent to bolster Capital One's Tech talent **Basic Qualifications:** + Bachelor's Degree + At least 7 years of experience in data engineering + At least 5 years of experience in data architecture **Preferred Qualifications:** + Masters' Degree + 7+ years of experience using Python, Java, Go, and SQL + 3+ years of experience with Kafka, Airflow, Spark, AWS Glue/Kinesis + 3+ years of experience with Databricks or Snowflake + 1+ year of experience deploying machine learning models _At this time, Capital One will not sponsor a new applicant for employment authorization, or offer any immigration related support for this position (i.e. H1B, F-1 OPT, F-1 STEM OPT, F-1 CPT, J-1, TN, or another type of work authorization)._ The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Remote (Regardless of Location): $239,900 - $273,800 for Distinguished Data Engineer Richmond, VA: $239,900 - $273,800 for Distinguished Data Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website (******************************************* . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days. No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at ************** or via email at RecruitingAccommodation@capitalone.com . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to ********************** Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Capital One Software is seeking a Lead Data Engineer who is passionate about marrying innovation with emerging technologies. In 2022, we publicly announced Capital One Software and have since brought two of our B2B software solutions to market; Slingshot and Databolt. Building on Capital One's pioneering adoption of modern cloud and data capabilities, Capital One Software is helping accelerate the data management journey at scale for businesses operating in the cloud. If you think of the kind of challenges that companies face - things like data publishing, data consumption, data governance, and infrastructure management - we've built tools to address these various needs along the way. Capital One Software will continue to explore where we can bring our solutions to market to help other businesses address these same needs going forward. We are seeking top tier talent to join our pioneering team and propel us towards our destination. You will be joining a team of innovative product, tech, and design leaders that tirelessly seek to question the status quo. As a Capital One Lead Data Engineer you'll have the opportunity to build meaningful software that enables our customers to manage their data securely and efficiently at any scale. What You'll Do: Collaborate with and across Agile teams to design, develop, test, implement, and support technical solutions in full-stack development tools and technologies Work with a team of developers with deep experience in machine learning, distributed microservices, and full stack systems Utilize programming languages like Java, Scala, Python and Open Source RDBMS and NoSQL databases and Cloud based data warehousing services such as Databricks and Snowflake Share your passion for staying on top of tech trends, experimenting with and learning new technologies, participating in internal & external technology communities, and mentoring other members of the engineering community Collaborate with digital product managers, and deliver robust cloud-based solutions that drive powerful experiences to help millions of Americans achieve financial empowerment Perform unit tests and conduct reviews with other team members to make sure your code is rigorously designed, elegantly coded, and effectively tuned for performance Basic Qualifications: Bachelor's Degree At least 4 years of experience in application development (Internship experience does not apply) At least 2 years of experience in big data technologies At least 1 year experience with cloud computing (AWS, Microsoft Azure, Google Cloud) Preferred Qualifications: 7+ years of experience in application development including Python, SQL, Scala, or Java 4+ years of experience with a public cloud (AWS, Microsoft Azure, Google Cloud) 4+ years experience with Distributed data/computing tools (Databricks, Spark, Kafka, EMR, Hadoop, MapReduce, Hadoop, Hive, Gurobi, or MySQL) 4+ year experience working on real-time data and streaming applications 4+ years of experience with NoSQL implementation (Mongo, Cassandra) 4+ years of data warehousing experience (Snowflake) 4+ years of experience with UNIX/Linux including basic commands and shell scripting 2+ years of experience with Agile engineering practices At this time, Capital One will not sponsor a new applicant for employment authorization, or offer any immigration related support for this position (i.e. H1B, F-1 OPT, F-1 STEM OPT, F-1 CPT, J-1, TN, E-2, E-3, L-1 and O-1, or any EADs or other forms of work authorization that require immigration support from an employer). The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Remote (Regardless of Location): $175,800 - $200,700 for Lead Data Engineer Richmond, VA: $175,800 - $200,700 for Lead Data Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at ************** or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to ********************** Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Ever since our first credit card customer in 1994, Capital One has recognized that technology and data can enable even large companies to be innovative and personalized. As one of the first large enterprises to go all-in on the public cloud, Capital One needed to build cloud and data management tools that didn't exist in the marketplace to enable us to operate at scale in the cloud. In 2022, we publicly announced Capital One Software and have since brought two of our B2B software solutions to market; Slingshot and Databolt. We are seeking top tier talent to join our pioneering team and propel us towards our destination. You will be joining a team of innovative product, tech, and design leaders that tirelessly seek to question the status quo. As a Capital One Data Engineer you'll have the opportunity to be on the forefront of building this business and bring these tools to market. What You'll Do: Collaborate with and across Agile teams to design, develop, test, implement, and support technical solutions in full-stack development tools and technologies Work with a team of developers with deep experience in machine learning, distributed microservices, and full stack systems Utilize programming languages like Java, Scala, Python and Open Source RDBMS and NoSQL databases and Cloud based data warehousing services such as Databricks and Snowflake Share your passion for staying on top of tech trends, experimenting with and learning new technologies, participating in internal & external technology communities, and mentoring other members of the engineering community Collaborate with digital product managers, and deliver robust cloud-based solutions that drive powerful experiences to help millions of Americans achieve financial empowerment Perform unit tests and conduct reviews with other team members to make sure your code is rigorously designed, elegantly coded, and effectively tuned for performance Basic Qualifications: Bachelor's Degree At least 3 years of experience in application development (Internship experience does not apply) At least 1 year of experience in big data technologies Preferred Qualifications: 5+ years of experience in application development including Python, SQL, Scala, or Java 2+ years of experience with a public cloud (AWS, Microsoft Azure, Google Cloud) 3+ years experience with Distributed data/computing tools (MapReduce, Hadoop, Hive, EMR, Kafka, Spark, Gurobi, or MySQL) 2+ year experience working on real-time data and streaming applications 2+ years of experience with NoSQL implementation (Mongo, Cassandra) 2+ years of data warehousing experience (Databricks or Snowflake) 3+ years of experience with UNIX/Linux including basic commands and shell scripting 2+ years of experience with Agile engineering practices At this time, Capital One will not sponsor a new applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Remote (Regardless of Location): $144,200 - $164,600 for Senior Data Engineer Richmond, VA: $144,200 - $164,600 for Senior Data Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at ************** or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to ********************** Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Ever since our first credit card customer in 1994, Capital One has recognized that technology and data can enable even large companies to be innovative and personalized. As one of the first large enterprises to go all-in on the public cloud, Capital One needed to build cloud and data management tools that didn't exist in the marketplace to enable us to operate at scale in the cloud. And in 2022, we publicly announced Capital One Software and brought our first B2B software solution, Slingshot, to market. Building on Capital One's pioneering adoption of modern cloud and data capabilities, Capital One Software is helping accelerate the data management journey at scale for businesses operating in the cloud. If you think of the kind of challenges that companies face - things like data publishing, data consumption, data governance, and infrastructure management - we've built tools to address these various needs along the way. Capital One Software will continue to explore where we can bring our solutions to market to help other businesses address these same needs going forward. We are seeking top tier talent to join our pioneering team and propel us towards our destination. You will be joining a team of innovative product, tech, and design leaders that tirelessly seek to question the status quo. As a Capital One Distinguished Data Engineer, you'll have the opportunity to be on the forefront of building this business and bring these tools to market. Responsibilities: Build awareness, increase knowledge and drive adoption of modern technologies, sharing consumer and engineering benefits to gain buy-in Collaborate on Capital One's toughest issues, to deliver on business needs that directly impact the lives of our customers and associates Strike the right balance between lending expertise and providing an inclusive environment where others' ideas can be heard and championed; leverage expertise to grow skills in the broader Capital One team Promote a culture of engineering excellence, using opportunities to reuse and innersource solutions where possible Effectively communicate with and influence key stakeholders across the enterprise, at all levels of the organization Operate as a trusted advisor for a specific technology, platform or capability domain, helping to shape use cases and implementation in an unified manner Lead the way in creating next-generation talent for Tech, mentoring internal talent and actively recruiting external talent to bolster Capital One's Tech talent Basic Qualifications: Bachelor's Degree At least 7 years of experience in data engineering At least 5 years of experience in data architecture Preferred Qualifications: Masters' Degree 7+ years of experience using Python, Java, Go, and SQL 3+ years of experience with Kafka, Airflow, Spark, AWS Glue/Kinesis 3+ years of experience with Databricks or Snowflake 1+ year of experience deploying machine learning models At this time, Capital One will not sponsor a new applicant for employment authorization, or offer any immigration related support for this position (i.e. H1B, F-1 OPT, F-1 STEM OPT, F-1 CPT, J-1, TN, or another type of work authorization). The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Remote (Regardless of Location): $239,900 - $273,800 for Distinguished Data Engineer Richmond, VA: $239,900 - $273,800 for Distinguished Data Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at ************** or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to ********************** Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Data is at the center of everything we do. As a startup, we disrupted the credit card industry by individually personalizing every credit card offer using statistical modeling and the relational database, cutting edge technology in 1988! Fast-forward a few years, and this little innovation and our passion for data has skyrocketed us to a Fortune 200 company and a leader in the world of data-driven decision-making. As a Data Scientist at Capital One, you'll be part of a team that's leading the next wave of disruption at a whole new scale, using the latest in computing and machine learning technologies and operating across billions of customer records to unlock the big opportunities that help everyday people save money, time and agony in their financial lives. Team Description Velocity Black by Capital One harnesses the power of artificial intelligence, the warmth of human experts and the convenience of the latest interfaces to help high-performance people actualize the full potential of their lives. It's concierge, reimagined for the digital age. By harnessing 24/7 chat, AI, and mobile payments, we help our customers do more and be more in the digital age. From access to the hottest restaurants to guaranteed upgrades at the world's finest resorts. Make a custom request through the app and you will be chatting to our team within 1 minute, 24/7/365. Velocity Black is on a mission to leverage technology to improve our operational efficacy and provide an extraordinary member experience. The Velocity Black AI and ML team is building the models that help provide personalized recommendations for our members. Our solutions are both: Reactive: Match member requests to the best possible options based on their stated request parameters, preferences, and historical behavior, as well as incorporating the expertise of our human agents. Proactive: Surface tailored, curated recommendations in-app, where content is filtered and personalized to each individual member, anticipating their needs and inspiring new booking experiences with us. The team is a combination of product managers, engineers, business analysts, and data scientists working in tandem to building AI/ML solutions from the ground up to help scale and improve our Velocity Black services. We are looking for someone passionate about digital servicing, customer experience, and personalization to work on our Velocity Black Concierge product. Role Description In this role, you will: Lead the design, development, and maintenance of personalization and recommendation models. Apply modern AI/ML methods (e.g. collaborative filtering, ensemble retrievers, embeddings, neural networks, LLM as a judge, etc.) to optimize and elevate member experiences Collaborate with product/business and engineering to integrate models into our platform, including model registration and ongoing measurement. Develop evaluation frameworks to monitor performance, bias, and accuracy of recommendations. Champion data-driven decision making across the team. The Ideal Candidate is: Customer first. You love the process of analyzing and creating, and you care about the user of the systems you create. You know at the end of the day it's about providing tooling to support our agents and enhancements to delight our customers. Creative. You thrive on bringing definition to big, undefined problems. You love asking questions and brainstorming various technical methods and designs to find the best solutions. You're not afraid to share a new idea. A leader. You challenge conventional thinking and work with stakeholders to identify and improve the status quo to advance us to the most cutting edge methods. You're passionate about talent development for your own team and beyond. Technical. You're comfortable with all things model development, including from pulling together model input data from various sources to deciding on the appropriate methodology to helping to implement use cases within thoughtful architecture designs. You have hands-on experience developing data science solutions using open-source tools and cloud computing platforms. A data guru. “Big data” doesn't faze you. You have the skills to retrieve, combine, and analyze data from a variety of sources and structures. You know understanding the data is often the key to great data science. Basic Qualifications: Currently has, or is in the process of obtaining one of the following with an expectation that the required degree will be obtained on or before the scheduled start date: A Bachelor's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) plus 6 years of experience performing data analytics A Master's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) or an MBA with a quantitative concentration plus 4 years of experience performing data analytics A PhD in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) plus 1 year of experience performing data analytics At least 1 years of experience leveraging open source programming languages for large scale data analysis At least 1 year of experience working with machine learning At least 1 year of experience utilizing relational databases Preferred Qualifications: PhD in “STEM” field (Science, Technology, Engineering, or Mathematics) Strong proficiency in Python and SQL for large scale data analysis At least 1 year of experience preparing and transforming large, messy, or sparse datasets for modeling At least 1 year of experience designing, training, and deploying large-scale models in production At least 1 year of experience in model lifecycle management and ML ops practices (monitoring, feature stores, retraining, experimentation, and A/B testing) At least 1 year of experience collaborating cross-functionally with product and engineering to translate business problems into ML solutions Familiarity with sophisticated ML approaches to personalization models or recommendation systems Demonstrated ability to influence stakeholders and lead technical strategy Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. Capital One is open to hiring a Remote Employee for this opportunity The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Remote (Regardless of Location): $175,800 - $200,700 for Mgr, Data Science McLean, VA: $193,400 - $220,700 for Mgr, Data Science Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at ************** or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to ********************** Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

This role is based remotely but if you live within a 50-mile radius of [Austin, Detroit, Warren, Milford, Mountain View, Sunnyvale], you are expected to report to that location three times a week, at minimum. About Us We're on a mission to build the world's most advanced self-driving vehicles to safely connect people to the places, things, and experiences they care about. At GM's Autonomous Vehicle (AV) organization, we're combining cutting-edge research, robust engineering, and large-scale systems to make this future a reality. Our team is developing national-scale, next-generation mapping systems from the ground up-combining robust backend infrastructure with intuitive, performant user interfaces. The Role We are looking for a Staff Software Engineer with deep expertise in distributed backend systems to join our Mapping Engineering team. You'll serve as a technical leader responsible for designing and building the scalable systems that power ingestion, storage, access, and delivery of autonomous vehicle maps. You'll partner closely with EMs, Staff/Principal ICs, and cross-functional teams to define the architecture and deliver next gen mapping capabilities that scale to national deployments. This is a hands-on leadership role requiring strong systems thinking, architecture design, and the ability to guide and mentor engineers across teams. You'll operate autonomously, lead cross-functional technical initiatives, and ensure the health, scalability, and performance of our critical mapping pipelines and services. What You'll Do (Responsibilities) Architect and implement scalable, reliable, distributed backend systems to support national-scale mapping. Design and evolve data pipelines and microservices for map ingestion, transformation, storage, and release. Own end-to-end delivery of high-impact projects, including defining milestones, aligning stakeholders, and mentoring ICs across functions. Collaborate cross-functionally with Localization, Perception, Simulation, and Offboard teams to define data contracts and ensure system interoperability. Drive technical excellence by conducting system-level design reviews, mentoring engineers, and setting the standard for code quality, testing, and documentation. Diagnose and resolve large-scale system issues across services, data pipelines, and production environments. Serve as the Subject Matter Expert (SME) in distributed system design, performance optimization, and backend architecture within Mapping and potentially across GM AV. Help shape technical roadmaps and hiring plans for growing distributed systems expertise across the org. Minimum Qualifications (Must-Have) 5+ years of experience designing, implementing, and operating scalable distributed systems in production. Bachelors degree in related field or relevant work experience Strong proficiency in Python (optional C++, TypeScript), and system-level programming fundamentals. Deep understanding of databases, caching, data modeling, and service-oriented architecture (SOA). Proven experience building and deploying distributed systems on major cloud platforms such as Google Cloud, AWS, or Azure. Experience with data orchestration pipelines and ETL mechanisms (eg. airflow) BS, MS, or PhD in Computer Science, Electrical Engineering, or related technical field, or equivalent industry experience. Demonstrated success in leading cross-functional technical initiatives, influencing architectural decisions across teams, and mentoring senior engineers. Preferred Qualifications (Nice-to-Have) Experience with mapping, geospatial data, or robotics systems (e.g., Localization, Perception). Familiarity with autonomous vehicle software stack, including the map-data lifecycle and software safety standards. Experience in CI/CD pipeline design, large-scale deployment strategies, or cloud-native architecture. Proficiency with Linux systems, container orchestration (e.g., Docker, Kubernetes), and distributed logging/metrics systems. Knowledge of machine learning data pipelines or HD map labeling infrastructure. Compensation: The compensation information is a good faith estimate only. It is based on what a successful applicant might be paid in accordance with applicable state laws. The compensation may not be representative for positions located outside of New York, Colorado, California, or Washington. The salary range for this role: is $200,000 to $285,000. The actual base salary a successful candidate will be offered within this range will vary based on factors relevant to the position. Bonus Potential: An incentive pay program offers payouts based on company performance, job level, and individual performance. Benefits: GM offers a variety of health and wellbeing benefit programs. Benefit options include medical, dental, vision, Health Savings Account, Flexible Spending Accounts, retirement savings plan, sickness and accident benefits, life insurance, paid vacation & holidays, tuition assistance programs, employee assistance program, GM vehicle discounts and more. Company Vehicle: Upon successful completion of a motor vehicle report review, you will be eligible to participate in a company vehicle evaluation program, through which you will be assigned a General Motors vehicle to drive and evaluate. Note: program participants are required to purchase/lease a qualifying GM vehicle every four years unless one of a limited number of exceptions applies. This role is based remotely, but if the selected candidate lives within a specific mile radius of a GM hub, they will be expected to report to the location three times a week {or other frequency dictated by your manager}. This job is not eligible for relocation benefits. Any relocation costs would be the responsibility of the selected candidate. About GM Our vision is a world with Zero Crashes, Zero Emissions and Zero Congestion and we embrace the responsibility to lead the change that will make our world better, safer and more equitable for all. Why Join Us We believe we all must make a choice every day - individually and collectively - to drive meaningful change through our words, our deeds and our culture. Every day, we want every employee to feel they belong to one General Motors team. Benefits Overview From day one, we're looking out for your well-being-at work and at home-so you can focus on realizing your ambitions. Learn how GM supports a rewarding career that rewards you personally by visiting Total Rewards resources. Non-Discrimination and Equal Employment Opportunities (U.S.) General Motors is committed to being a workplace that is not only free of unlawful discrimination, but one that genuinely fosters inclusion and belonging. We strongly believe that providing an inclusive workplace creates an environment in which our employees can thrive and develop better products for our customers. All employment decisions are made on a non-discriminatory basis without regard to sex, race, color, national origin, citizenship status, religion, age, disability, pregnancy or maternity status, sexual orientation, gender identity, status as a veteran or protected veteran, or any other similarly protected status in accordance with federal, state and local laws. We encourage interested candidates to review the key responsibilities and qualifications for each role and apply for any positions that match their skills and capabilities. Applicants in the recruitment process may be required, where applicable, to successfully complete a role-related assessment(s) and/or a pre-employment screening prior to beginning employment. To learn more, visit How we Hire. Accommodations General Motors offers opportunities to all job seekers including individuals with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, email us or call us at ************. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.

Role: As a Staff Software Engineer for Autonomy Evaluation within the Simulation and Testing organization, you will play a critical role in leading the strategy and execution of simulation-based validation efforts for autonomous vehicle development. On the Systems Engineering Team within the Simulation and Testing organization, your experience designing and implementing complex V&V strategies will enable you to quickly prototype, gain consensus, and move our programs forward with increased trust and efficiency. Your expertise will guide engineers in defining best practices and driving innovation in testing and verifying the safety and performance of autonomous systems in complex simulated environments. You will be responsible for shaping the future of our simulation capability requirements and ensuring robust validation methods are designed for meeting the testing needs of AI developers, systems engineering, and safety. About the Organization: The Simulation and Testing organization is dedicated to advancing the development of autonomous vehicles through cutting-edge simulation technologies. The Systems Engineering team within the Simulation and Testing org focuses on unlocking software launch and continuous release decisions via simulation verification and validation strategies, prototypes, and protocols. Our collaborative environment fosters innovation and excellence, allowing us to push the boundaries of what is possible in autonomous vehicle testing. What You'll Do: Develop and prototype comparative strategies to benchmark autonomy systems' performance. Create simulation evaluation methods to support decision-making in continuous release cycles. Define requirements and metrics for validating safe and comfortable Autonomous Vehicle operations. Analyze driving behaviors to inform system performance and influence the development of the autonomy stack. Mentor team members and facilitate cross-team collaboration to define simulation confidence metrics for new launches. Your Skills & Abilities: Advanced degree in Mechanical Engineering, Aerospace Engineering, Physics, Computer Science, Data Science, or related fields. 10+ years of experience in systems engineering, robotics, or data analysis. Proficient in SQL, Python, and C++ for analyzing large data sets. Strong analytical thinking skills with the ability to interpret data and derive impactful conclusions. Excellent communication skills, capable of switching between high-level and detailed discussions. What Will Give You A Competitive Edge: Experience in validating AI models, robotics, or autonomous vehicle development. Background in data engineering and familiarity with ETL software (e.g., DBT, Airflow). Experience in developing data visualizations using tools like Looker or Jupyter notebooks. Proven success in systems engineering for safety-critical products and familiarity with requirements management tools (e.g., Jama, DNG, DOORS). Compensation: The compensation information is a good faith estimate only. It is based on what a successful applicant might be paid in accordance with applicable state laws. The compensation may not be representative for positions located outside of New York, Colorado, California, or Washington. The salary range for this role is $165,000 to $253,200. The actual base salary a successful candidate will be offered within this range will vary based on factors relevant to the position. Bonus Potential: An incentive pay program offers payouts based on company performance, job level, and individual performance. Benefits: GM offers a variety of health and wellbeing benefit programs. Benefit options include medical, dental, vision, Health Savings Account, Flexible Spending Accounts, retirement savings plan, sickness and accident benefits, life insurance, paid vacation & holidays, tuition assistance programs, employee assistance program, GM vehicle discounts and more. Remote: This role is based remotely but if you live within a 50-mile radius of Atlanta, Austin, Detroit, Warren, Milford or Mountain View, you are expected to report to that location three times a week, at minimum. Relocation: This job may be eligible for relocation benefits. #LI-MH2 About GM Our vision is a world with Zero Crashes, Zero Emissions and Zero Congestion and we embrace the responsibility to lead the change that will make our world better, safer and more equitable for all. Why Join Us We believe we all must make a choice every day - individually and collectively - to drive meaningful change through our words, our deeds and our culture. Every day, we want every employee to feel they belong to one General Motors team. Benefits Overview From day one, we're looking out for your well-being-at work and at home-so you can focus on realizing your ambitions. Learn how GM supports a rewarding career that rewards you personally by visiting Total Rewards resources. Non-Discrimination and Equal Employment Opportunities (U.S.) General Motors is committed to being a workplace that is not only free of unlawful discrimination, but one that genuinely fosters inclusion and belonging. We strongly believe that providing an inclusive workplace creates an environment in which our employees can thrive and develop better products for our customers. All employment decisions are made on a non-discriminatory basis without regard to sex, race, color, national origin, citizenship status, religion, age, disability, pregnancy or maternity status, sexual orientation, gender identity, status as a veteran or protected veteran, or any other similarly protected status in accordance with federal, state and local laws. We encourage interested candidates to review the key responsibilities and qualifications for each role and apply for any positions that match their skills and capabilities. Applicants in the recruitment process may be required, where applicable, to successfully complete a role-related assessment(s) and/or a pre-employment screening prior to beginning employment. To learn more, visit How we Hire. Accommodations General Motors offers opportunities to all job seekers including individuals with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, email us or call us at ************. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.

Role: The Smart Agents group is responsible for building the ML models and system to simulate road users in a variety of situations and generate the scenarios used for testing and training AV driving policies. If you think of Simulation as a video game our autonomous vehicles train on to learn to drive, the Smart Agents team develops the ML/AI models that control the other characters in the video game to interact in realistic ways as the av drives-eg, the other vehicles, bikers, and pedestrians. Our technology stack includes Generative AI models (GPT) and Reinforcement Learning (RL) policies. The Smart Agents group work closely with the rest of the Simulation, and our partners Behaviors, Perception, and Safety Engineers. The specific duties may include ML/RL model development as well as training loop development, streamlining optimization, integration, creating ML infrastructure, metrics, and data pipelines for production model deployment as well as for fast experimentation cycles. What You'll Do: Support the team in developing machine learning (ML) and reinforcement learning (RL) models, including training loop development and optimization. Streamline integration and create ML infrastructure, metrics, and data pipelines for production model deployment and rapid experimentation. Work as part of an ML team and contribute strong software engineering (SWE) expertise. Support the ML team in accelerating project timelines, particularly in areas related to Autopilot, Lane Keep, and autonomous vehicle (AV) technologies. Experience in simulation and robotics is highly desirable, with a preference for candidates from AV or robotics backgrounds rather than solely cloud-focused companies. Your Skills & Abilities: 4+ years of experience in the field of robotics or latency-sensitive backend services Background working with machine learning teams, algorithms, and models Bonus: Experience building highly performant ML and system pipelines Strong programming skills in modern C++ or Python Bonus: Experience with profiling CPU and/or GPU software, process scheduling, and prioritization Passionate about self-driving car technology and its impact on the world Expertise in setting architectures that are scalable, efficient, fault-tolerant, and are easily extensible allowing for changes overtime without major disruptions. Ability to design across multiple systems. Ability to both investigate in sophisticated areas as well as a good breadth of understanding of systems outside of your domain. Ability to wear several hats shifting between coding, design, technical strategy, and mentorship combined with excellent judgment on when to switch contexts to meet the greatest need. Track record in deploying perception/prediction/av models into real world environments Your Skills & Abilities: 4+ years of experience in the field of robotics or latency-sensitive backend services Proven experience in machine learning and classification. Familiar with ML frameworks such as Tensorflow or PyTorch Experience building highly performant ML and system pipelines Strong programming skills in modern C++ or Python Experience with profiling CPU and/or GPU software, process scheduling, and prioritization Passionate about self-driving car technology and its impact on the world Expertise in setting architectures that are scalable, efficient, fault-tolerant, and are easily extensible allowing for changes overtime without major disruptions. Ability to design across multiple systems. Ability to both investigate in sophisticated areas as well as a good breadth of understanding of systems outside of your domain. Ability to wear several hats shifting between coding, design, technical strategy, and mentorship combined with excellent judgment on when to switch contexts to meet the greatest need. Track record in deploying perception/prediction/av models into real world environments Experience working with RL and sequence prediction (ML) models Compensation: The compensation information is a good faith estimate only. It is based on what a successful applicant might be paid in accordance with applicable state laws. The compensation may not be representative for positions located outside of New York, Colorado, California, or Washington. The salary range for this role is $134,000 to $235,900. The actual base salary a successful candidate will be offered within this range will vary based on factors relevant to the position. Bonus Potential: An incentive pay program offers payouts based on company performance, job level, and individual performance. Benefits: GM offers a variety of health and wellbeing benefit programs. Benefit options include medical, dental, vision, Health Savings Account, Flexible Spending Accounts, retirement savings plan, sickness and accident benefits, life insurance, paid vacation & holidays, tuition assistance programs, employee assistance program, GM vehicle discounts and more. Remote: This role is based remotely but if you live within a 50-mile radius of Atlanta, Austin, Detroit, Warren, Milford or Mountain View, you are expected to report to that location three times a week, at minimum. Relocation: This job may be eligible for relocation benefits. #LI-MH2 This role is categorized as hybrid. This means the selected candidate is expected to report to a specific location at least 3 times a week {or other frequency dictated by their manager}. About GM Our vision is a world with Zero Crashes, Zero Emissions and Zero Congestion and we embrace the responsibility to lead the change that will make our world better, safer and more equitable for all. Why Join Us We believe we all must make a choice every day - individually and collectively - to drive meaningful change through our words, our deeds and our culture. Every day, we want every employee to feel they belong to one General Motors team. Benefits Overview From day one, we're looking out for your well-being-at work and at home-so you can focus on realizing your ambitions. Learn how GM supports a rewarding career that rewards you personally by visiting Total Rewards resources. Non-Discrimination and Equal Employment Opportunities (U.S.) General Motors is committed to being a workplace that is not only free of unlawful discrimination, but one that genuinely fosters inclusion and belonging. We strongly believe that providing an inclusive workplace creates an environment in which our employees can thrive and develop better products for our customers. All employment decisions are made on a non-discriminatory basis without regard to sex, race, color, national origin, citizenship status, religion, age, disability, pregnancy or maternity status, sexual orientation, gender identity, status as a veteran or protected veteran, or any other similarly protected status in accordance with federal, state and local laws. We encourage interested candidates to review the key responsibilities and qualifications for each role and apply for any positions that match their skills and capabilities. Applicants in the recruitment process may be required, where applicable, to successfully complete a role-related assessment(s) and/or a pre-employment screening prior to beginning employment. To learn more, visit How we Hire. Accommodations General Motors offers opportunities to all job seekers including individuals with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, email us or call us at ************. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.

**Role:** As a Staff Software Engineer for Autonomy Evaluation within the Simulation and Testing organization, you will play a critical role in leading the strategy and execution of simulation-based validation efforts for autonomous vehicle development. On the Systems Engineering Team within the Simulation and Testing organization, your experience designing and implementing complex V&V strategies will enable you to quickly prototype, gain consensus, and move our programs forward with increased trust and efficiency. Your expertise will guide engineers in defining best practices and driving innovation in testing and verifying the safety and performance of autonomous systems in complex simulated environments. You will be responsible for shaping the future of our simulation capability requirements and ensuring robust validation methods are designed for meeting the testing needs of AI developers, systems engineering, and safety. **About the Organization:** The Simulation and Testing organization is dedicated to advancing the development of autonomous vehicles through cutting-edge simulation technologies. The Systems Engineering team within the Simulation and Testing org focuses on unlocking software launch and continuous release decisions via simulation verification and validation strategies, prototypes, and protocols. Our collaborative environment fosters innovation and excellence, allowing us to push the boundaries of what is possible in autonomous vehicle testing. **What You'll Do:** + Develop and prototype comparative strategies to benchmark autonomy systems' performance. + Create simulation evaluation methods to support decision-making in continuous release cycles. + Define requirements and metrics for validating safe and comfortable Autonomous Vehicle operations. + Analyze driving behaviors to inform system performance and influence the development of the autonomy stack. + Mentor team members and facilitate cross-team collaboration to define simulation confidence metrics for new launches. **Your Skills & Abilities:** + Advanced degree in Mechanical Engineering, Aerospace Engineering, Physics, Computer Science, Data Science, or related fields. + 10+ years of experience in systems engineering, robotics, or data analysis. + Proficient in SQL, Python, and C++ for analyzing large data sets. + Strong analytical thinking skills with the ability to interpret data and derive impactful conclusions. + Excellent communication skills, capable of switching between high-level and detailed discussions. **What Will Give You** **A** **Competitive Edge:** + Experience in validating AI models, robotics, or autonomous vehicle development. + Background in data engineering and familiarity with ETL software (e.g., DBT, Airflow). + Experience in developing data visualizations using tools like Looker or Jupyter notebooks. + Proven success in systems engineering for safety-critical products and familiarity with requirements management tools (e.g., Jama, DNG, DOORS). **Compensation** **:** The compensation information is a good faith estimate only. It is based on what a successful applicant might be paid in accordance with applicable state laws. The compensation may not be representative for positions located outside of New York, Colorado, California, or Washington. + The salary range for this role is $165,000 to $253,200. The actual base salary a successful candidate will be offered within this range will vary based on factors relevant to the position. + Bonus Potential: An incentive pay program offers payouts based on company performance, job level, and individual performance. + Benefits: GM offers a variety of health and wellbeing benefit programs. Benefit options include medical, dental, vision, Health Savings Account, Flexible Spending Accounts, retirement savings plan, sickness and accident benefits, life insurance, paid vacation & holidays, tuition assistance programs, employee assistance program, GM vehicle discounts and more. **Remote:** This role is based remotely but if you live within a 50-mile radius of Atlanta, Austin, Detroit, Warren, Milford or Mountain View, you are expected to report to that location three times a week, at minimum. **Relocation:** This job may be eligible for relocation benefits. \#LI-MH2 **About GM** Our vision is a world with Zero Crashes, Zero Emissions and Zero Congestion and we embrace the responsibility to lead the change that will make our world better, safer and more equitable for all. **Why Join Us** We believe we all must make a choice every day - individually and collectively - to drive meaningful change through our words, our deeds and our culture. Every day, we want every employee to feel they belong to one General Motors team. **Benefits Overview** From day one, we're looking out for your well-being-at work and at home-so you can focus on realizing your ambitions. Learn how GM supports a rewarding career that rewards you personally by visiting Total Rewards resources (************************************************************* . **Non-Discrimination and Equal Employment Opportunities (U.S.)** General Motors is committed to being a workplace that is not only free of unlawful discrimination, but one that genuinely fosters inclusion and belonging. We strongly believe that providing an inclusive workplace creates an environment in which our employees can thrive and develop better products for our customers. All employment decisions are made on a non-discriminatory basis without regard to sex, race, color, national origin, citizenship status, religion, age, disability, pregnancy or maternity status, sexual orientation, gender identity, status as a veteran or protected veteran, or any other similarly protected status in accordance with federal, state and local laws. We encourage interested candidates to review the key responsibilities and qualifications for each role and apply for any positions that match their skills and capabilities. Applicants in the recruitment process may be required, where applicable, to successfully complete a role-related assessment(s) and/or a pre-employment screening prior to beginning employment. To learn more, visit How we Hire (********************************************* . **Accommodations** General Motors offers opportunities to all job seekers including individuals with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, email (Careers.Accommodations@GM.com) us or call us at ************. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying. We are leading the change to make our world better, safer and more equitable for all through our actions and how we behave. Learn more about: **Our Company (************************************************** **Our Culture** **How we hire (************************************************ Our diverse team of employees bring their collective passion for engineering, technology and design to deliver on our vision of a world with Zero Crashes, Zero Emissions and Zero Congestion. We are looking for adventure-seekers and imaginative thought leaders to help us transform mobility. Explore our global locations (******************************************** We are determined to lead change for the world through technology, ingenuity and harnessing the creativity of our diverse team. Join us to help lead the change that will make our world better, safer and more equitable for all by becoming a member of GM's Talent Community (beamery.com) (*********************************************** . As a part of our Talent Community, you will receive updates about GM, open roles, career insights and more. Please note that filling out the form below will not add you to our Talent Community automatically; you will need to use the link above. If you are seeking to apply to a specific role, we encourage you to click "Apply Now" on the job posting of interest. The policy of General Motors is to extend opportunities to qualified applicants and employees on an equal basis regardless of an individual's age, race, color, sex, religion, national origin, disability, sexual orientation, gender identity/expression or veteran status. Additionally, General Motors is committed to being an Equal Employment Opportunity Employer and offers opportunities to all job seekers including individuals with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, email us at Careers.Accommodations@GM.com .In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.

**Role:** The Smart Agents group is responsible for building the ML models and system to simulate road users in a variety of situations and generate the scenarios used for testing and training AV driving policies. If you think of Simulation as a video game our autonomous vehicles train on to learn to drive, the Smart Agents team develops the ML/AI models that control the other characters in the video game to interact in realistic ways as the av drives-eg, the other vehicles, bikers, and pedestrians. Our technology stack includes Generative AI models (GPT) and Reinforcement Learning (RL) policies. The Smart Agents group work closely with the rest of the Simulation, and our partners Behaviors, Perception, and Safety Engineers. The specific duties may include ML/RL model development as well as training loop development, streamlining optimization, integration, creating ML infrastructure, metrics, and data pipelines for production model deployment as well as for fast experimentation cycles. **What You'll Do:** + Support the team in developing machine learning (ML) and reinforcement learning (RL) models, including training loop development and optimization. + Streamline integration and create ML infrastructure, metrics, and data pipelines for production model deployment and rapid experimentation. + Work as part of an ML team and contribute strong software engineering (SWE) expertise. + Support the ML team in accelerating project timelines, particularly in areas related to Autopilot, Lane Keep, and autonomous vehicle (AV) technologies. + Experience in simulation and robotics is highly desirable, with a preference for candidates from AV or robotics backgrounds rather than solely cloud-focused companies. **Your Skills & Abilities:** + 4+ years of experience in the field of robotics or latency-sensitive backend services + Background working with machine learning teams, algorithms, and models + Bonus: Experience building highly performant ML and system pipelines + Strong programming skills in modern C++ or Python **Bonus:** + Experience with profiling CPU and/or GPU software, process scheduling, and prioritization + Passionate about self-driving car technology and its impact on the world + Expertise in setting architectures that are scalable, efficient, fault-tolerant, and are easily extensible allowing for changes overtime without major disruptions. + Ability to design across multiple systems. Ability to both investigate in sophisticated areas as well as a good breadth of understanding of systems outside of your domain. + Ability to wear several hats shifting between coding, design, technical strategy, and mentorship combined with excellent judgment on when to switch contexts to meet the greatest need. + Track record in deploying perception/prediction/av models into real world environments **Your Skills & Abilities** **:** + 4+ years of experience in the field of robotics or latency-sensitive backend services + Proven experience in machine learning and classification. Familiar with ML frameworks such as Tensorflow or PyTorch + Experience building highly performant ML and system pipelines + Strong programming skills in modern C++ or Python + Experience with profiling CPU and/or GPU software, process scheduling, and prioritization + Passionate about self-driving car technology and its impact on the world + Expertise in setting architectures that are scalable, efficient, fault-tolerant, and are easily extensible allowing for changes overtime without major disruptions. + Ability to design across multiple systems. Ability to both investigate in sophisticated areas as well as a good breadth of understanding of systems outside of your domain. + Ability to wear several hats shifting between coding, design, technical strategy, and mentorship combined with excellent judgment on when to switch contexts to meet the greatest need. + Track record in deploying perception/prediction/av models into real world environments + Experience working with RL and sequence prediction (ML) models **Compensation** **:** The compensation information is a good faith estimate only. It is based on what a successful applicant might be paid in accordance with applicable state laws. The compensation may not be representative for positions located outside of New York, Colorado, California, or Washington. + The salary range for this role is $134,000 to $235,900. The actual base salary a successful candidate will be offered within this range will vary based on factors relevant to the position. + Bonus Potential: An incentive pay program offers payouts based on company performance, job level, and individual performance. + Benefits: GM offers a variety of health and wellbeing benefit programs. Benefit options include medical, dental, vision, Health Savings Account, Flexible Spending Accounts, retirement savings plan, sickness and accident benefits, life insurance, paid vacation & holidays, tuition assistance programs, employee assistance program, GM vehicle discounts and more. **Remote:** This role is based remotely but if you live within a 50-mile radius of Atlanta, Austin, Detroit, Warren, Milford or Mountain View, you are expected to report to that location three times a week, at minimum. **Relocation:** This job may be eligible for relocation benefits. \#LI-MH2 This role is categorized as hybrid. This means the selected candidate is expected to report to a specific location at least 3 times a week {or other frequency dictated by their manager}. **About GM** Our vision is a world with Zero Crashes, Zero Emissions and Zero Congestion and we embrace the responsibility to lead the change that will make our world better, safer and more equitable for all. **Why Join Us** We believe we all must make a choice every day - individually and collectively - to drive meaningful change through our words, our deeds and our culture. Every day, we want every employee to feel they belong to one General Motors team. **Benefits Overview** From day one, we're looking out for your well-being-at work and at home-so you can focus on realizing your ambitions. Learn how GM supports a rewarding career that rewards you personally by visiting Total Rewards resources (************************************************************* . **Non-Discrimination and Equal Employment Opportunities (U.S.)** General Motors is committed to being a workplace that is not only free of unlawful discrimination, but one that genuinely fosters inclusion and belonging. We strongly believe that providing an inclusive workplace creates an environment in which our employees can thrive and develop better products for our customers. All employment decisions are made on a non-discriminatory basis without regard to sex, race, color, national origin, citizenship status, religion, age, disability, pregnancy or maternity status, sexual orientation, gender identity, status as a veteran or protected veteran, or any other similarly protected status in accordance with federal, state and local laws. We encourage interested candidates to review the key responsibilities and qualifications for each role and apply for any positions that match their skills and capabilities. Applicants in the recruitment process may be required, where applicable, to successfully complete a role-related assessment(s) and/or a pre-employment screening prior to beginning employment. To learn more, visit How we Hire (********************************************* . **Accommodations** General Motors offers opportunities to all job seekers including individuals with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, email (Careers.Accommodations@GM.com) us or call us at ************. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying. We are leading the change to make our world better, safer and more equitable for all through our actions and how we behave. Learn more about: **Our Company (************************************************** **Our Culture** **How we hire (************************************************ Our diverse team of employees bring their collective passion for engineering, technology and design to deliver on our vision of a world with Zero Crashes, Zero Emissions and Zero Congestion. We are looking for adventure-seekers and imaginative thought leaders to help us transform mobility. Explore our global locations (******************************************** We are determined to lead change for the world through technology, ingenuity and harnessing the creativity of our diverse team. Join us to help lead the change that will make our world better, safer and more equitable for all by becoming a member of GM's Talent Community (beamery.com) (*********************************************** . As a part of our Talent Community, you will receive updates about GM, open roles, career insights and more. Please note that filling out the form below will not add you to our Talent Community automatically; you will need to use the link above. If you are seeking to apply to a specific role, we encourage you to click "Apply Now" on the job posting of interest. The policy of General Motors is to extend opportunities to qualified applicants and employees on an equal basis regardless of an individual's age, race, color, sex, religion, national origin, disability, sexual orientation, gender identity/expression or veteran status. Additionally, General Motors is committed to being an Equal Employment Opportunity Employer and offers opportunities to all job seekers including individuals with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, email us at Careers.Accommodations@GM.com .In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.

Remote: This role is based remotely but if you live within a 50-mile radius of Atlanta, Austin, Detroit, Warren, Milford, or Mountain View, you are expected to report to that location three times a week, at minimum. The Role We are looking for an exceptional and experience Staff Software Engineer who is excited about building mobile products across General Motors. You will be responsible for helping lead our engineering efforts through planning, design and architecture, execution, and ramp. As a technical leader on the team, you will be excited to help mentor less experienced engineers, build strong relationships with technical leaders on other teams, and facilitate a strong team culture. What You'll do Develop competency with all of our core Mobile technologies (client, framework, and services). Weigh architectural trade-offs and apply synchronous and asynchronous design patterns. Produce high quality software that is unit tested, code reviewed, and checked in regularly for continuous integration. Be a tech lead and will actively mentor other engineers on the team Explore and pitch product ideas and tech initiatives with cross functional teams. Initiate, plan, and execute large-scale, cross functional, and org-wide critical programs. Leverage your technical leadership to ensure we adhere to engineering best practices, and evangelize opportunities to improve engineering productivity and craftsmanship. Your Skills & Abilities (Required Qualifications) Bachelor's Degree in Computer Science or related field, or equivalent work experience. 7+ years of experience in Mobile development, native and preferably ReactNative. 7+ years of experience contributing to the architecture, documentation and design of new and existing systems (architecture, design patterns, reliability, and scaling). Experience working with multi-tier production software systems utilizing HTTP APIs (REST or GraphQL) and backend datastores (PostgreSQL, DynamoDB, Redis, or Elasticsearch). Demonstrated ability to understand the tech stack, debug code and tests. What Will Give You a Competitive Edge (Preferred Qualifications) Bachelor's Degree in Computer Science or related field, or equivalent work experience. 7+ years of experience in Mobile development, native and preferably ReactNative. 7+ years of experience contributing to the architecture, documentation and design of new and existing systems (architecture, design patterns, reliability, and scaling). Experience working with multi-tier production software systems utilizing HTTP APIs (REST or GraphQL) and backend datastores (PostgreSQL, DynamoDB, Redis, or Elasticsearch). Demonstrated ability to understand the tech stack, debug code and tests. Enthusiastic about the opportunity of impacting the engineering culture from the bottom up. Compensation : The compensation information is a good faith estimate only. It is based on what a successful applicant might be paid in accordance with applicable state laws. The compensation may not be representative for positions located outside of New York, Colorado, California, or Washington. The salary range for this role is 165,000 - 298,800. The actual base salary a successful candidate will be offered within this range will vary based on factors relevant to the position. Bonus Potential: An incentive pay program offers payouts based on company performance, job level, and individual performance. Benefits : Benefits: GM offers a variety of health and wellbeing benefit programs. Benefit options include medical, dental, vision, Health Savings Account, Flexible Spending Accounts, retirement savings plan, sickness and accident benefits, life insurance, paid vacation & holidays, tuition assistance programs, employee assistance program, GM vehicle discounts and more. A company vehicle will be provided for this role with successful completion of a Motor Vehicle Report review. This job may be eligible for relocation benefits. About GM Our vision is a world with Zero Crashes, Zero Emissions and Zero Congestion and we embrace the responsibility to lead the change that will make our world better, safer and more equitable for all. Why Join Us We believe we all must make a choice every day - individually and collectively - to drive meaningful change through our words, our deeds and our culture. Every day, we want every employee to feel they belong to one General Motors team. Benefits Overview From day one, we're looking out for your well-being-at work and at home-so you can focus on realizing your ambitions. Learn how GM supports a rewarding career that rewards you personally by visiting Total Rewards resources. Non-Discrimination and Equal Employment Opportunities (U.S.) General Motors is committed to being a workplace that is not only free of unlawful discrimination, but one that genuinely fosters inclusion and belonging. We strongly believe that providing an inclusive workplace creates an environment in which our employees can thrive and develop better products for our customers. All employment decisions are made on a non-discriminatory basis without regard to sex, race, color, national origin, citizenship status, religion, age, disability, pregnancy or maternity status, sexual orientation, gender identity, status as a veteran or protected veteran, or any other similarly protected status in accordance with federal, state and local laws. We encourage interested candidates to review the key responsibilities and qualifications for each role and apply for any positions that match their skills and capabilities. Applicants in the recruitment process may be required, where applicable, to successfully complete a role-related assessment(s) and/or a pre-employment screening prior to beginning employment. To learn more, visit How we Hire. Accommodations General Motors offers opportunities to all job seekers including individuals with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, email us or call us at ************. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.

The Role The rapid adoption of advanced software in vehicles marks a new era for automakers and consumers, bringing both advantages and challenges. As part of Site Reliability Engineering (SRE) at General motors, you'll join a dedicated team focused on enhancing the reliability, efficiency, and scalability of our distributed systems. We leverage engineering principles to manage operations effectively and build solutions that enable us to grow without sacrificing performance or quality. Our SREs work closely with software development teams, acting as specialists in reliability and production engineering, with a focus on automation, observability, and shared responsibility. We are looking for individuals who are passionate about maintaining the health of our infrastructure while optimising for reliability and cost-efficiency. This role involves a blend of software engineering and systems engineering skills to keep our services resilient, robust, and scalable. This role is for a hands-on position as an Individual Contributor (IC). As an Software Engineer, Site Reliability Engineering IC you will focus on enhancing the reliability, efficiency, and performance of our services. You'll work closely with other engineers to develop automated solutions, respond to incidents, and drive improvements across our infrastructure. The expectation for this role is that you will maintain a hands-on approach, whether it's through scripting, troubleshooting incidents, or improving observability. As an IC, you will be at the forefront of solving technical challenges and making impactful improvements that directly enhance the quality of service for our users. The role requires a blend of software engineering and systems engineering skills to address complex production challenges effectively. What You'll Do Automation and Reliability Improvements: Develop tools and software to automate operational processes, improve system reliability, and reduce manual intervention. Observability and Monitoring: Lead, Implement and improve monitoring and observability frameworks, enabling proactive detection and resolution of incidents. Incident Response: Participate in an on-call rotation to diagnose, troubleshoot, and mitigate production incidents, ensuring minimal downtime and swift resolution. Collaboration with Development Teams: Work alongside developers to ensure the quality, scalability, and reliability of our services. Practice shared ownership of services in production, fostering a "You build it, you run it" culture. Service Level Management: Manage Service Level Indicators (SLIs), Service Level Objectives (SLOs), and Service Level Agreements (SLAs) to manage reliability expectations effectively. Engineering for Reliability: Strong understanding of common application reliability patterns, with hands-on experience implementing them. Failure Analysis and Post-Incident Reviews: Conduct deep-dive analyses of incidents and collaborate on post-incident reviews to derive learnings and prevent recurrence. Champion a culture of continuous improvement. Cost Efficiency: Evaluate system performance and advocate for optimisations that reduce infrastructure costs while maintaining service reliability. Required Qualifications- Programming Skills: Proficiency in at least one programming language (e.g., Python, Go, Java) and familiarity with multiple language ecosystems. Systems Knowledge: Solid understanding of operating systems, networking, distributed systems, databases, and storage architectures. *Strong Understanding of System Fundamentals: Deep understanding of how code runs on underlying hardware, including operating systems, algorithms, and data structures. Ability to optimize or troubleshoot code by understanding its execution and the impact on system resources. Incident Management: Experience handling production incidents, including root cause analysis, mitigation, and working through complex system failures. Communication and Collaboration: Strong communication skills, with an ability to explain technical concepts to both engineering and business stakeholders. Commitment to collaborative problem-solving and shared ownership of services. Automation Focus: Proven experience in automating manual processes, building deployment pipelines, or managing configuration systems. Bachelor's degree in computer science or related field, or equivalent work experience. Preferred Experience - - Experience with cloud platforms (AWS, GCP, Azure). - Familiarity with container orchestration systems like Kubernetes. - A track record of managing or developing distributed systems. - Prior experience with Java in production. - 8+ years of experience - Bachelor's degree in computer science or related field, or equivalent work experience. This job may be eligible for relocation benefits. Compensation: The expected base compensation for this role is: $225,000- $344,800. Actual base compensation within the identified range will vary based on factors relevant to the position. You also need to include general information about potential commissions, if applicable. Bonus Potential: An incentive pay program offers payouts based on company performance, job level, and individual performance. Benefits: Benefits: GM offers a variety of health and wellbeing benefit programs. Benefit options include medical, dental, vision, Health Savings Account, Flexible Spending Accounts, retirement savings plan, sickness and accident benefits, life insurance, paid vacation & holidays, tuition assistance programs, employee assistance program, GM vehicle discounts and more. #LI-KL2 This job may be eligible for relocation benefits. About GM Our vision is a world with Zero Crashes, Zero Emissions and Zero Congestion and we embrace the responsibility to lead the change that will make our world better, safer and more equitable for all. Why Join Us We believe we all must make a choice every day - individually and collectively - to drive meaningful change through our words, our deeds and our culture. Every day, we want every employee to feel they belong to one General Motors team. Benefits Overview From day one, we're looking out for your well-being-at work and at home-so you can focus on realizing your ambitions. Learn how GM supports a rewarding career that rewards you personally by visiting Total Rewards resources. Non-Discrimination and Equal Employment Opportunities (U.S.) General Motors is committed to being a workplace that is not only free of unlawful discrimination, but one that genuinely fosters inclusion and belonging. We strongly believe that providing an inclusive workplace creates an environment in which our employees can thrive and develop better products for our customers. All employment decisions are made on a non-discriminatory basis without regard to sex, race, color, national origin, citizenship status, religion, age, disability, pregnancy or maternity status, sexual orientation, gender identity, status as a veteran or protected veteran, or any other similarly protected status in accordance with federal, state and local laws. We encourage interested candidates to review the key responsibilities and qualifications for each role and apply for any positions that match their skills and capabilities. Applicants in the recruitment process may be required, where applicable, to successfully complete a role-related assessment(s) and/or a pre-employment screening prior to beginning employment. To learn more, visit How we Hire. Accommodations General Motors offers opportunities to all job seekers including individuals with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, email us or call us at ************. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.

_This role is based remotely but if you live within a 50-mile radius of [Austin, Detroit, Warren,_ _Milford,_ _Mountain View, Sunnyvale], you are expected to report to that location three times a week, at minimum._ **About Us** We're on a mission to build the world's most advanced self-driving vehicles to safely connect people to the places, things, and experiences they care about. At GM's Autonomous Vehicle (AV) organization, we're combining cutting-edge research, robust engineering, and large-scale systems to make this future a reality. Our team is developing national-scale, next-generation mapping systems from the ground up-combining robust backend infrastructure with intuitive, performant user interfaces. **The Role** We are looking for a **Staff Software Engineer** with deep expertise in **distributed backend** **systems** to join our **Mapping Engineering** team. You'll serve as a technical leader responsible for designing and building the scalable systems that power ingestion, storage, access, and delivery of autonomous vehicle maps. You'll partner closely with EMs, Staff/Principal ICs, and cross-functional teams to define the architecture and deliver next gen mapping capabilities that scale to national deployments. This is a hands-on leadership role requiring strong systems thinking, architecture design, and the ability to guide and mentor engineers across teams. You'll operate autonomously, lead cross-functional technical initiatives, and ensure the health, scalability, and performance of our critical mapping pipelines and services. **What You'll Do (Responsibilities)** + Architect and implement scalable, reliable, distributed backend systems to support national-scale mapping. + Design and evolve data pipelines and microservices for map ingestion, transformation, storage, and release. + Own end-to-end delivery of high-impact projects, including defining milestones, aligning stakeholders, and mentoring ICs across functions. + Collaborate cross-functionally with Localization, Perception, Simulation, and Offboard teams to define data contracts and ensure system interoperability. + Drive technical excellence by conducting system-level design reviews, mentoring engineers, and setting the standard for code quality, testing, and documentation. + Diagnose and resolve large-scale system issues across services, data pipelines, and production environments. + Serve as the Subject Matter Expert (SME) in distributed system design, performance optimization, and backend architecture within Mapping and potentially across GM AV. + Help shape technical roadmaps and hiring plans for growing distributed systems expertise across the org. **Minimum Qualifications (Must-Have)** + 5+ years of experience designing, implementing, and operating scalable distributed systems in production. + Bachelors degree in related field or relevant work experience + Strong proficiency in Python (optional C++, TypeScript), and system-level programming fundamentals. + Deep understanding of databases, caching, data modeling, and service-oriented architecture (SOA). + Proven experience building and deploying distributed systems on major cloud platforms such as Google Cloud, AWS, or Azure. + Experience with data orchestration pipelines and ETL mechanisms (eg. airflow) + BS, MS, or PhD in Computer Science, Electrical Engineering, or related technical field, or equivalent industry experience. + Demonstrated success in leading cross-functional technical initiatives, influencing architectural decisions across teams, and mentoring senior engineers. **Preferred Qualifications (Nice-to-Have)** + Experience with mapping, geospatial data, or robotics systems (e.g., Localization, Perception). + Familiarity with autonomous vehicle software stack, including the map-data lifecycle and software safety standards. + Experience in CI/CD pipeline design, large-scale deployment strategies, or cloud-native architecture. + Proficiency with Linux systems, container orchestration (e.g., Docker, Kubernetes), and distributed logging/metrics systems. + Knowledge of machine learning data pipelines or HD map labeling infrastructure. **Compensation:** The compensation information is a good faith estimate only. It is based on what a successful applicant might be paid in accordance with applicable state laws. The compensation may not be representative for positions located outside of New York, Colorado, California, or Washington. + **The salary range for this role:** is $200,000 to $285,000. The actual base salary a successful candidate will be offered within this range will vary based on factors relevant to the position. + **Bonus Potential:** An incentive pay program offers payouts based on company performance, job level, and individual performance. + **Benefits:** GM offers a variety of health and wellbeing benefit programs. Benefit options include medical, dental, vision, Health Savings Account, Flexible Spending Accounts, retirement savings plan, sickness and accident benefits, life insurance, paid vacation & holidays, tuition assistance programs, employee assistance program, GM vehicle discounts and more. Company Vehicle: Upon successful completion of a motor vehicle report review, you will be eligible to participate in a company vehicle evaluation program, through which you will be assigned a General Motors vehicle to drive and evaluate. Note: program participants are required to purchase/lease a qualifying GM vehicle every four years unless one of a limited number of exceptions applies. This role is based remotely, but if the selected candidate lives within a specific mile radius of a GM hub, they will be expected to report to the location three times a week {or other frequency dictated by your manager}. This job is not eligible for relocation benefits. Any relocation costs would be the responsibility of the selected candidate. **About GM** Our vision is a world with Zero Crashes, Zero Emissions and Zero Congestion and we embrace the responsibility to lead the change that will make our world better, safer and more equitable for all. **Why Join Us** We believe we all must make a choice every day - individually and collectively - to drive meaningful change through our words, our deeds and our culture. Every day, we want every employee to feel they belong to one General Motors team. **Benefits Overview** From day one, we're looking out for your well-being-at work and at home-so you can focus on realizing your ambitions. Learn how GM supports a rewarding career that rewards you personally by visiting Total Rewards resources (************************************************************* . **Non-Discrimination and Equal Employment Opportunities (U.S.)** General Motors is committed to being a workplace that is not only free of unlawful discrimination, but one that genuinely fosters inclusion and belonging. We strongly believe that providing an inclusive workplace creates an environment in which our employees can thrive and develop better products for our customers. All employment decisions are made on a non-discriminatory basis without regard to sex, race, color, national origin, citizenship status, religion, age, disability, pregnancy or maternity status, sexual orientation, gender identity, status as a veteran or protected veteran, or any other similarly protected status in accordance with federal, state and local laws. We encourage interested candidates to review the key responsibilities and qualifications for each role and apply for any positions that match their skills and capabilities. Applicants in the recruitment process may be required, where applicable, to successfully complete a role-related assessment(s) and/or a pre-employment screening prior to beginning employment. To learn more, visit How we Hire (********************************************* . **Accommodations** General Motors offers opportunities to all job seekers including individuals with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, email (Careers.Accommodations@GM.com) us or call us at ************. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying. We are leading the change to make our world better, safer and more equitable for all through our actions and how we behave. Learn more about: **Our Company (************************************************** **Our Culture** **How we hire (************************************************ Our diverse team of employees bring their collective passion for engineering, technology and design to deliver on our vision of a world with Zero Crashes, Zero Emissions and Zero Congestion. We are looking for adventure-seekers and imaginative thought leaders to help us transform mobility. Explore our global locations (******************************************** We are determined to lead change for the world through technology, ingenuity and harnessing the creativity of our diverse team. Join us to help lead the change that will make our world better, safer and more equitable for all by becoming a member of GM's Talent Community (beamery.com) (*********************************************** . As a part of our Talent Community, you will receive updates about GM, open roles, career insights and more. Please note that filling out the form below will not add you to our Talent Community automatically; you will need to use the link above. If you are seeking to apply to a specific role, we encourage you to click "Apply Now" on the job posting of interest. The policy of General Motors is to extend opportunities to qualified applicants and employees on an equal basis regardless of an individual's age, race, color, sex, religion, national origin, disability, sexual orientation, gender identity/expression or veteran status. Additionally, General Motors is committed to being an Equal Employment Opportunity Employer and offers opportunities to all job seekers including individuals with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, email us at Careers.Accommodations@GM.com .In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.

**Remote:** This role is based remotely but if you live within a 50-mile radius of Atlanta, Austin, Detroit, Warren, Milford, or Mountain View, you are expected to report to that location three times a week, at minimum. **The Role** We are looking for an exceptional and experience **Staff Software Engineer** who is excited about building mobile products across General Motors. You will be responsible for helping lead our engineering efforts through planning, design and architecture, execution, and ramp. As a technical leader on the team, you will be excited to help mentor less experienced engineers, build strong relationships with technical leaders on other teams, and facilitate a strong team culture. **What You'll do** + Develop competency with all of our core Mobile technologies (client, framework, and services). + Weigh architectural trade-offs and apply synchronous and asynchronous design patterns. + Produce high quality software that is unit tested, code reviewed, and checked in regularly for continuous integration. + Be a tech lead and will actively mentor other engineers on the team + Explore and pitch product ideas and tech initiatives with cross functional teams. + Initiate, plan, and execute large-scale, cross functional, and org-wide critical programs. + Leverage your technical leadership to ensure we adhere to engineering best practices, and evangelize opportunities to improve engineering productivity and craftsmanship. **Your Skills & Abilities (Required Qualifications) ** + Bachelor's Degree in Computer Science or related field, or equivalent work experience. + 7+ years of experience in Mobile development, native and preferably ReactNative. + 7+ years of experience contributing to the architecture, documentation and design of new and existing systems (architecture, design patterns, reliability, and scaling). + Experience working with multi-tier production software systems utilizing HTTP APIs (REST or GraphQL) and backend datastores (PostgreSQL, DynamoDB, Redis, or Elasticsearch). + Demonstrated ability to understand the tech stack, debug code and tests. **What Will Give You a Competitive Edge (Preferred Qualifications) ** + Bachelor's Degree in Computer Science or related field, or equivalent work experience. + 7+ years of experience in Mobile development, native and preferably ReactNative. + 7+ years of experience contributing to the architecture, documentation and design of new and existing systems (architecture, design patterns, reliability, and scaling). + Experience working with multi-tier production software systems utilizing HTTP APIs (REST or GraphQL) and backend datastores (PostgreSQL, DynamoDB, Redis, or Elasticsearch). + Demonstrated ability to understand the tech stack, debug code and tests. + Enthusiastic about the opportunity of impacting the engineering culture from the bottom up. **_Compensation_** : The compensation information is a good faith estimate only. It is based on what a successful applicant might be paid in accordance with applicable state laws. The compensation may not be representative for positions located outside of New York, Colorado, California, or Washington. + The salary range for this role is 165,000 - 298,800. The actual base salary a successful candidate will be offered within this range will vary based on factors relevant to the position. + Bonus Potential: An incentive pay program offers payouts based on company performance, job level, and individual performance. **_Benefits_** **:** + Benefits: GM offers a variety of health and wellbeing benefit programs. Benefit options include medical, dental, vision, Health Savings Account, Flexible Spending Accounts, retirement savings plan, sickness and accident benefits, life insurance, paid vacation & holidays, tuition assistance programs, employee assistance program, GM vehicle discounts and more. A company vehicle will be provided for this role with successful completion of a Motor Vehicle Report review. This job may be eligible for relocation benefits. **About GM** Our vision is a world with Zero Crashes, Zero Emissions and Zero Congestion and we embrace the responsibility to lead the change that will make our world better, safer and more equitable for all. **Why Join Us** We believe we all must make a choice every day - individually and collectively - to drive meaningful change through our words, our deeds and our culture. Every day, we want every employee to feel they belong to one General Motors team. **Benefits Overview** From day one, we're looking out for your well-being-at work and at home-so you can focus on realizing your ambitions. Learn how GM supports a rewarding career that rewards you personally by visiting Total Rewards resources (************************************************************* . **Non-Discrimination and Equal Employment Opportunities (U.S.)** General Motors is committed to being a workplace that is not only free of unlawful discrimination, but one that genuinely fosters inclusion and belonging. We strongly believe that providing an inclusive workplace creates an environment in which our employees can thrive and develop better products for our customers. All employment decisions are made on a non-discriminatory basis without regard to sex, race, color, national origin, citizenship status, religion, age, disability, pregnancy or maternity status, sexual orientation, gender identity, status as a veteran or protected veteran, or any other similarly protected status in accordance with federal, state and local laws. We encourage interested candidates to review the key responsibilities and qualifications for each role and apply for any positions that match their skills and capabilities. Applicants in the recruitment process may be required, where applicable, to successfully complete a role-related assessment(s) and/or a pre-employment screening prior to beginning employment. To learn more, visit How we Hire (********************************************* . **Accommodations** General Motors offers opportunities to all job seekers including individuals with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, email (Careers.Accommodations@GM.com) us or call us at ************. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying. We are leading the change to make our world better, safer and more equitable for all through our actions and how we behave. Learn more about: **Our Company (************************************************** **Our Culture** **How we hire (************************************************ Our diverse team of employees bring their collective passion for engineering, technology and design to deliver on our vision of a world with Zero Crashes, Zero Emissions and Zero Congestion. We are looking for adventure-seekers and imaginative thought leaders to help us transform mobility. Explore our global locations (******************************************** We are determined to lead change for the world through technology, ingenuity and harnessing the creativity of our diverse team. Join us to help lead the change that will make our world better, safer and more equitable for all by becoming a member of GM's Talent Community (beamery.com) (*********************************************** . As a part of our Talent Community, you will receive updates about GM, open roles, career insights and more. Please note that filling out the form below will not add you to our Talent Community automatically; you will need to use the link above. If you are seeking to apply to a specific role, we encourage you to click "Apply Now" on the job posting of interest. The policy of General Motors is to extend opportunities to qualified applicants and employees on an equal basis regardless of an individual's age, race, color, sex, religion, national origin, disability, sexual orientation, gender identity/expression or veteran status. Additionally, General Motors is committed to being an Equal Employment Opportunity Employer and offers opportunities to all job seekers including individuals with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, email us at Careers.Accommodations@GM.com .In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.

**The Role** The rapid adoption of advanced software in vehicles marks a new era for automakers and consumers, bringing both advantages and challenges. As part of Site Reliability Engineering (SRE) at General motors, you'll join a dedicated team focused on enhancing the reliability, efficiency, and scalability of our distributed systems. We leverage engineering principles to manage operations effectively and build solutions that enable us to grow without sacrificing performance or quality. Our SREs work closely with software development teams, acting as specialists in reliability and production engineering, with a focus on automation, observability, and shared responsibility. We are looking for individuals who are passionate about maintaining the health of our infrastructure while optimising for reliability and cost-efficiency. This role involves a blend of software engineering and systems engineering skills to keep our services resilient, robust, and scalable. This role is for a hands-on position as an Individual Contributor (IC). As an Software Engineer, Site Reliability Engineering IC you will focus on enhancing the reliability, efficiency, and performance of our services. You'll work closely with other engineers to develop automated solutions, respond to incidents, and drive improvements across our infrastructure. The expectation for this role is that you will maintain a hands-on approach, whether it's through scripting, troubleshooting incidents, or improving observability. As an IC, you will be at the forefront of solving technical challenges and making impactful improvements that directly enhance the quality of service for our users. The role requires a blend of software engineering and systems engineering skills to address complex production challenges effectively. **What You'll Do** + **Automation and Reliability Improvements** : Develop tools and software to automate operational processes, improve system reliability, and reduce manual intervention. + **Observability and Monitoring** : Lead, Implement and improve monitoring and observability frameworks, enabling proactive detection and resolution of incidents. + **Incident Response** : Participate in an on-call rotation to diagnose, troubleshoot, and mitigate production incidents, ensuring minimal downtime and swift resolution. + **Collaboration with Development Teams** : Work alongside developers to ensure the quality, scalability, and reliability of our services. Practice shared ownership of services in production, fostering a "You build it, you run it" culture. + **Service Level Management** : Manage Service Level Indicators (SLIs), Service Level Objectives (SLOs), and Service Level Agreements (SLAs) to manage reliability expectations effectively. + **Engineering for Reliability** : Strong understanding of common application reliability patterns, with hands-on experience implementing them. + **Failure Analysis and Post-Incident Reviews** : Conduct deep-dive analyses of incidents and collaborate on post-incident reviews to derive learnings and prevent recurrence. Champion a culture of continuous improvement. + **Cost Efficiency** : Evaluate system performance and advocate for optimisations that reduce infrastructure costs while maintaining service reliability. **Required Qualifications-** + **Programming Skills** : Proficiency in at least one programming language (e.g., Python, Go, Java) and familiarity with multiple language ecosystems. + **Systems Knowledge** : Solid understanding of operating systems, networking, distributed systems, databases, and storage architectures. + * **Strong Understanding of System Fundamentals** : Deep understanding of how code runs on underlying hardware, including operating systems, algorithms, and data structures. Ability to optimize or troubleshoot code by understanding its execution and the impact on system resources. + **Incident Management** : Experience handling production incidents, including root cause analysis, mitigation, and working through complex system failures. + **Communication and Collaboration** : Strong communication skills, with an ability to explain technical concepts to both engineering and business stakeholders. Commitment to collaborative problem-solving and shared ownership of services. + **Automation Focus** : Proven experience in automating manual processes, building deployment pipelines, or managing configuration systems. + Bachelor's degree in computer science or related field, or equivalent work experience. **Preferred Experience** - - Experience with cloud platforms (AWS, GCP, Azure). - Familiarity with container orchestration systems like Kubernetes. - A track record of managing or developing distributed systems. - Prior experience with Java in production. - 8+ years of experience - Bachelor's degree in computer science or related field, or equivalent work experience. This job may be eligible for relocation benefits. + Compensation: + The expected base compensation for this role is: $225,000- $344,800. Actual base compensation within the identified range will vary based on factors relevant to the position. + You also need to include general information about potential commissions, if applicable. + **Bonus Potential:** An incentive pay program offers payouts based on company performance, job level, and individual performance. + Benefits: + Benefits: GM offers a variety of health and wellbeing benefit programs. Benefit options include medical, dental, vision, Health Savings Account, Flexible Spending Accounts, retirement savings plan, sickness and accident benefits, life insurance, paid vacation & holidays, tuition assistance programs, employee assistance program, GM vehicle discounts and more. \#LI-KL2 This job may be eligible for relocation benefits. **About GM** Our vision is a world with Zero Crashes, Zero Emissions and Zero Congestion and we embrace the responsibility to lead the change that will make our world better, safer and more equitable for all. **Why Join Us** We believe we all must make a choice every day - individually and collectively - to drive meaningful change through our words, our deeds and our culture. Every day, we want every employee to feel they belong to one General Motors team. **Benefits Overview** From day one, we're looking out for your well-being-at work and at home-so you can focus on realizing your ambitions. Learn how GM supports a rewarding career that rewards you personally by visiting Total Rewards resources (************************************************************* . **Non-Discrimination and Equal Employment Opportunities (U.S.)** General Motors is committed to being a workplace that is not only free of unlawful discrimination, but one that genuinely fosters inclusion and belonging. We strongly believe that providing an inclusive workplace creates an environment in which our employees can thrive and develop better products for our customers. All employment decisions are made on a non-discriminatory basis without regard to sex, race, color, national origin, citizenship status, religion, age, disability, pregnancy or maternity status, sexual orientation, gender identity, status as a veteran or protected veteran, or any other similarly protected status in accordance with federal, state and local laws. We encourage interested candidates to review the key responsibilities and qualifications for each role and apply for any positions that match their skills and capabilities. Applicants in the recruitment process may be required, where applicable, to successfully complete a role-related assessment(s) and/or a pre-employment screening prior to beginning employment. To learn more, visit How we Hire (********************************************* . **Accommodations** General Motors offers opportunities to all job seekers including individuals with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, email (Careers.Accommodations@GM.com) us or call us at ************. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying. We are leading the change to make our world better, safer and more equitable for all through our actions and how we behave. Learn more about: **Our Company (************************************************** **Our Culture** **How we hire (************************************************ Our diverse team of employees bring their collective passion for engineering, technology and design to deliver on our vision of a world with Zero Crashes, Zero Emissions and Zero Congestion. We are looking for adventure-seekers and imaginative thought leaders to help us transform mobility. Explore our global locations (******************************************** We are determined to lead change for the world through technology, ingenuity and harnessing the creativity of our diverse team. Join us to help lead the change that will make our world better, safer and more equitable for all by becoming a member of GM's Talent Community (beamery.com) (*********************************************** . As a part of our Talent Community, you will receive updates about GM, open roles, career insights and more. Please note that filling out the form below will not add you to our Talent Community automatically; you will need to use the link above. If you are seeking to apply to a specific role, we encourage you to click "Apply Now" on the job posting of interest. The policy of General Motors is to extend opportunities to qualified applicants and employees on an equal basis regardless of an individual's age, race, color, sex, religion, national origin, disability, sexual orientation, gender identity/expression or veteran status. Additionally, General Motors is committed to being an Equal Employment Opportunity Employer and offers opportunities to all job seekers including individuals with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, email us at Careers.Accommodations@GM.com .In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.

Job Description - Senior Software Engineer, Behavior Validation Hybrid: This role is categorized as remote. Role: As a Senior Software Engineer on the Software Validation team within the AV organization, you will play a critical role in the development of simulation-based validation efforts for autonomous vehicle behavior. You will leverage your experience in software engineering to convert validation strategies into well-architected and implemented code that analyzes AV behavior. You will work with a team of engineers to define best practices, raise the bar internally on coding quality, and verify the safety and performance of autonomous systems. You will be responsible for shaping the future of evaluation methodologies for AI systems and other ADAS features, architecting solutions that meet the testing needs of AI developers, systems engineers, and safety stakeholders. About the Organization: The Autonomous Vehicle (AV) organization is dedicated to advancing the development of autonomous vehicles through cutting-edge simulation technologies and novel iterative development processes. The Behavior Validation team focuses on unlocking software launches and continuous release decisions via simulation verification and validation strategies, prototypes, and protocols. Our collaborative environment fosters innovation and excellence, allowing us to push the boundaries of what is possible in autonomous vehicle testing. What You'll Do: Develop and prototype strategies to benchmark autonomy systems' performance. Convert validation strategies into production code that executes high quality AV behavior analysis for continuous and scaled software release cycles Use data analytics to facilitate data driven design, validation, risk analysis, and prioritization decisions Build tools that scale systems engineering prototyped testing products to additional users like the software release team and Embodied AI Facilitate cross-team collaboration to establish coding best practices for the Software Validation Organization Your Skills & Abilities Advanced degree in Computer Science, Mechanical Engineering, Aerospace Engineering, Physics, Data Science, or related fields 4+ years of experience in software engineering; bonus if overlap in systems engineering, robotics, systems analysis, data analysis, statistical analysis, or other related fields Experienced with SQL, Python, and C++ for analyzing large data sets and building production-quality simulation testing products Strong analytical thinking skills with the ability to interpret data and derive impactful conclusions Ability to adapt and operate under ambiguity, going from quick code prototypes to long-term plans on brief time horizons Excellent communication skills, capable of switching between high-level and detailed discussions What Will Give You A Competitive Edge Proven track record of successful software engineering on a safety-critical product, especially as it related to verification and validation tools Experience with robotics, autonomous vehicles, vehicle development, or ADAS development Experience working with robotics simulation environments Experience analyzing automotive collision data Experience developing dashboards and data visualizations using tools such as Looker or Jupyter notebooks About GM Our vision is a world with Zero Crashes, Zero Emissions and Zero Congestion and we embrace the responsibility to lead the change that will make our world better, safer and more equitable for all. Why Join Us We believe we all must make a choice every day - individually and collectively - to drive meaningful change through our words, our deeds and our culture. Every day, we want every employee to feel they belong to one General Motors team. Benefits Overview From day one, we're looking out for your well-being-at work and at home-so you can focus on realizing your ambitions. Learn how GM supports a rewarding career that rewards you personally by visiting Total Rewards resources. Non-Discrimination and Equal Employment Opportunities (U.S.) General Motors is committed to being a workplace that is not only free of unlawful discrimination, but one that genuinely fosters inclusion and belonging. We strongly believe that providing an inclusive workplace creates an environment in which our employees can thrive and develop better products for our customers. All employment decisions are made on a non-discriminatory basis without regard to sex, race, color, national origin, citizenship status, religion, age, disability, pregnancy or maternity status, sexual orientation, gender identity, status as a veteran or protected veteran, or any other similarly protected status in accordance with federal, state and local laws. We encourage interested candidates to review the key responsibilities and qualifications for each role and apply for any positions that match their skills and capabilities. Applicants in the recruitment process may be required, where applicable, to successfully complete a role-related assessment(s) and/or a pre-employment screening prior to beginning employment. To learn more, visit How we Hire. Accommodations General Motors offers opportunities to all job seekers including individuals with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, email us or call us at ************. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.