Senior Software Development Engineer jobs at GM Financial

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 Senior Manager of Software Engineering, you'll have the opportunity to be on the forefront of building this business and bring these tools to market. **What You'll Do:** + Lead a portfolio of diverse technology projects and a team of developers with deep experience in distributed microservices, and full stack systems to create solutions that help meet regulatory needs for the company + Share your passion for staying on top of tech trends, experimenting with and learning new technologies, participating in internal & external technology communities, mentoring other members of the engineering community, and from time to time, be asked to code or evaluate code + Collaborate with digital product managers, and deliver robust cloud-based solutions that drive powerful experiences to help millions of Americans achieve financial empowerment + Utilize programming languages like Java, Python, SQL, Node, Go, and Scala, Open Source RDBMS and NoSQL databases, Container Orchestration services including Docker and Kubernetes, and a variety of AWS tools and services **Basic Qualifications:** + Bachelor's Degree + At least 6 years of professional software engineering experience (Internship experience does not apply) + At least 1 year experience with cloud computing (AWS, Microsoft Azure, Google Cloud) + At least 4 years of people management experience **Preferred Qualifications:** + Master's Degree + 9+ years of experience in at least one of the following: Java, Scala, Python, Go, or Node.js + 3+ years of experience in big data technologies + 3+ years of experience with Distributed data/computing tools (MapReduce, Hadoop, Hive, EMR, Kafka, Spark, Gurobi, or MySQL) + 3+ years of experience with industry recognized ML frameworks such as scikit-learn, PyTorch, Dask, Spark, or TensorFlow + 3+ years of experience building production-ready data pipelines that feed ML models + 3+ years of experience building, scaling, and optimizing ML systems + 2+ years of experience leading teams developing ML solutions + 3+ years of experience with AWS, GCP, Azure, or another cloud service + 4+ years of experience in open source frameworks + 7+ years of people management experience + 2+ years of experience in Agile 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): $204,900 - $233,800 for Sr. Mgr, Software Engineering Richmond, VA: $204,900 - $233,800 for Sr. Mgr, Software Engineering 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 Senior Software Manager you'll have the opportunity to be on the forefront of building this business and bring these tools to market. **What You'll Do:** + Lead a team of developers with deep experience in distributed microservices, and full stack systems to create robust, cloud native, resilient, and highly scalable solutions in data management and security domains + Is an inspirational leader, has a talent growth strategy by attracting and retaining talent, involved heavily in hiring process and practice, continues to create high levels of energy and motivation through challenges and obstacles, and proactively manages all talent by actively coaching and improving the performance of directs + Has a strong engineering and technology background with the ability to learn quickly and go deep into our product and engineering solutions + Help accelerate adoption of the very best engineering practices, while maintaining knowledge on industry innovations, trends and practices to curate a continual stream of incubated projects and create rapid product prototypes + Promote a culture of engineering excellence and being well-managed, using opportunities to reuse and innersource solutions where possible. Lead the craftsmanship, availability, resilience, and scalability of your solutions + Be the guiding force for stakeholders in design and architecture discussions, helping the engineering teams make key technology choices, and staying associated with the use case through its development lifecycle + Effectively communicate with and influence key stakeholders across the enterprise at all levels of the organization. Proven collaborator and have the ability to build very strong partnerships with others to gain the trust and confidence of those around them, from hands on engineers to executives **Basic Qualifications:** + Bachelor's Degree + At least 8 years of experience in software engineering (Internship experience does not apply) + At least 1 year experience with cloud computing (AWS, Microsoft Azure, Google Cloud) + At least 4 years of people management experience **Preferred Qualifications:** + Master's Degree + 10+ years of experience in software engineering in one or more of the following: GoLang, Java, Python, React, Rust, or C++ 3+ years of experience in two or more of the following: GoLang, Java, Python, Lua, React, Nginx, Rust, or C++ 5+ years of experience with AWS, GCP, Azure, or another cloud service + 2+ years of experience with containerization technologies + 4+ years of experience in open source frameworks + 5+ years of people management experience + 2+ years of experience in Big Data, Data Security, Governance and Controls + 2+ years of experience in front-end development + 2+ years of experience in Agile practices **_Capital One will consider sponsoring a new qualified 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): $204,900 - $233,800 for Sr. Mgr, Software Engineering Richmond, VA: $204,900 - $233,800 for Sr. Mgr, Software Engineering 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. As a Capital One Machine Learning Engineer (MLE), you'll be part of software team dedicated to producing machine learning applications and systems at scale. You'll participate in the detailed technical design, development, and implementation of machine learning applications using existing and emerging technology platforms. You'll focus on machine learning architectural design, develop and review model and application code, and ensure high availability and performance of our machine learning applications. You'll have the opportunity to continuously learn and apply the latest innovations and best practices in machine learning engineering. **What you'll do in the role:** The MLE role overlaps with many disciplines, such as Ops, Modeling, and Data Engineering. In this role, you'll be expected to perform many ML engineering activities, including one or more of the following: + Design, build, and/or deliver ML models and components that solve real-world business problems, while working in collaboration with the Product and Data Science teams. + Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues, including choice of model, data, and feature selection, model training, hyperparameter tuning, dimensionality, bias/variance, and validation). + Solve complex problems by writing and testing application code, developing and validating ML models, and automating tests and deployment. + Collaborate as part of a cross-functional Agile team to create and enhance software that enables state-of-the-art big data and ML applications. + Retrain, maintain, and monitor models in production. + Leverage or build cloud-based architectures, technologies, and/or platforms to deliver optimized ML models at scale. + Construct optimized data pipelines to feed ML models. + Leverage continuous integration and continuous deployment best practices, including test automation and monitoring, to ensure successful deployment of ML models and application code. + Ensure all code is well-managed to reduce vulnerabilities, models are well-governed from a risk perspective, and the ML follows best practices in Responsible and Explainable AI. + Use programming languages like Python, Scala, or Java. **Basic Qualifications:** + Bachelor's degree + At least 8 years of experience designing and building data-intensive solutions using distributed computing (Internship experience does not apply) + At least 4 years of experience programming with Python, Scala, or Java + At least 3 years of experience building, scaling, and optimizing ML systems + At least 2 years of experience leading teams developing ML solutions + At least 4 years of people management experience. **Preferred Qualifications:** + Master's or doctoral degree in computer science, electrical engineering, mathematics, or a similar field + 4+ years of on-the-job experience with an industry recognized ML framework such as scikit-learn, PyTorch, Dask, Spark, or TensorFlow + 3+ years of experience developing performant, resilient, and maintainable code + 3+ years of experience with data gathering and preparation for ML models + Experience developing and deploying ML solutions in a public cloud such as AWS, Azure, or Google Cloud Platform + 3+ years of experience building production-ready data pipelines that feed ML models + Ability to communicate complex technical concepts clearly to a variety of audiences + ML industry impact through conference presentations, papers, blog posts, open source contributions, or patents **_Capital One will consider sponsoring a new qualified 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): $204,900 - $233,800 for Sr. Mgr, Machine Learning Engineering Richmond, VA: $204,900 - $233,800 for Sr. Mgr, Machine Learning Engineering 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).

Do you love building and pioneering in the technology space? Do you enjoy solving complex business problems in a fast-paced, collaborative, inclusive, and iterative delivery environment? At Capital One, you'll be part of a big group of makers, breakers, doers and disruptors, who love to solve real problems and meet real customer needs. We are seeking Back End Software Engineers who are passionate about marrying data with emerging technologies. As a Capital One Software Engineer, you'll have the opportunity to be on the forefront of driving a major transformation within Capital One. **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 + Share your passion for staying on top of tech trends, experimenting with and learning new technologies, participating in internal & external technology communities, 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 + Utilize programming languages like Java, Python, SQL, Node, Go, and Scala, Open Source RDBMS and NoSQL databases, Container Orchestration services including Docker and Kubernetes, and a variety of AWS tools and services **Basic Qualifications:** + Bachelor's Degree + At least 3 years of professional software engineering experience (Internship experience does not apply) **Preferred Qualifications:** + 5+ years of experience in at least one of the following: Java, Scala, Python, Go, or Node.js + 1+ years of experience with AWS, GCP, Azure, or another cloud service + 3+ years of experience in open source frameworks + 2+ years of experience in Agile 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): $144,200 - $164,600 for Senior Software Engineer Richmond, VA: $144,200 - $164,600 for Senior Software 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 Lead Software 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: Lead a portfolio of diverse technology projects and a team of developers with deep experience in distributed microservices, and full stack systems to create solutions that help meet regulatory needs for the company Share your passion for staying on top of tech trends, experimenting with and learning new technologies, participating in internal & external technology communities, 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 Utilize programming languages like JavaScript (React), TypeScript, Java, and Open Source RDBMS and NoSQL databases, Container Orchestration services including Docker and Kubernetes, and a variety of AWS tools and services Basic Qualifications: Bachelor's Degree At least 4 years of experience in software engineering (Internship experience does not apply) At least 1 year experience with cloud computing (AWS, Microsoft Azure, Google Cloud) Preferred Qualifications: Master's Degree 7+ years of experience in at least one of the following: JavaScript, React, TypeScript, or Java 3+ years of experience with AWS, GCP, Microsoft Azure, or another cloud service 3+ years of experience building and designing scalable data pipelines 3+ years experience with Distributed data/computing tools (Spark, Databricks) 2+ years of data warehousing experience (Redshift or Snowflake) 4+ years of experience in open source frameworks 1+ years of people management experience 2+ years of experience in Agile 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 Manager, Lead Software Engineer; $175,800 - $200,700 for Lead Software Engineer Richmond, VA: $175,800 - $200,700 for Manager, Lead Software Engineer; $175,800 - $200,700 for Lead Software 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).

**Do you love building and pioneering in the technology space? Do you enjoy solving complex business problems in a fast-paced, collaborative, inclusive, and iterative delivery environment? At Capital One, you'll be part of a big group of makers, breakers, doers and disruptors, who solve real problems and meet real customer needs.** **Capital One Shopping is looking for our next Site Reliability Engineer. This position will be a great fit for anyone who wants to optimize, automate and expand business-critical services to a constantly growing customer base. At Capital One Shopping we leverage technology and data to find the best deals for our customers while they shop. To do this we handle huge volumes of data and network traffic; as we grow we need engineers who are ready to help optimize our existing systems and build the next generation of capabilities to support our users and merchants.** **What You'll Do:** + **Lead a portfolio of diverse technology projects with deep experience in distributed microservices and full stack systems to create solutions that help meet regulatory needs for the company** + **Regularly contribute across multiple code bases to deliver performance, regulatory, reliability and revenue improvements for the business** + **Contribute to platforms that enable the success of developers, account managers, business partners and our customers** + **Improve visibility to business-critical transactions, guide the creation of SLOs and influence the management of error budgets** + **Share your passion for staying on top of tech trends, experimenting with and learning new technologies, participating in internal & external technology communities, mentoring other members of the engineering community, and from time to time, be asked to code or evaluate code** + **Collaborate with digital product managers, and deliver robust cloud-based solutions that drive powerful experiences to help millions of Americans achieve financial empowerment** + **Leverage NodeJS, Docker, AWS, Kafka, Cassandra, Opensearch, Postgres and other technologies to optimize software for ideal business outcomes** **Basic Qualifications:** + **Bachelor's Degree** + **At least 6 years of professional software engineering experience (Internship experience does not apply)** + **At least 1 year experience with cloud computing (AWS, Microsoft Azure, Google Cloud)** **Preferred Qualifications:** + **Master's Degree** + **9+ years of experience in at least one of the following: Node.js, Go, or Python** + **3+ years of experience with AWS** + **3+ years of experience in security and performance tuning for internet-scale microservices** + **3+ years of on-call experience for internet-scale microservices** **Capital One will consider sponsoring a new qualified 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): $204,900 - $233,800 for Sr. Lead Software Engineer McLean, VA: $225,400 - $257,200 for Sr. Lead Software 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).

Do you love building and pioneering in the technology space? Do you enjoy solving complex business problems in a fast-paced, collaborative, inclusive, and iterative delivery environment? At Capital One, you'll be part of a big group of makers, breakers, doers and disruptors, who love to solve real problems and meet real customer needs. We are seeking Back End Software Engineers who are passionate about marrying data with emerging technologies. As a Capital One Software Engineer, you'll have the opportunity to be on the forefront of driving a major transformation within Capital One. 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 Share your passion for staying on top of tech trends, experimenting with and learning new technologies, participating in internal & external technology communities, 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 Utilize programming languages like Java, Python, SQL, Node, Go, and Scala, Open Source RDBMS and NoSQL databases, Container Orchestration services including Docker and Kubernetes, and a variety of AWS tools and services Basic Qualifications: Bachelor's Degree At least 3 years of professional software engineering experience (Internship experience does not apply) Preferred Qualifications: 5+ years of experience in at least one of the following: Java, Scala, Python, Go, or Node.js 1+ years of experience with AWS, GCP, Azure, or another cloud service 3+ years of experience in open source frameworks 2+ years of experience in Agile 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): $144,200 - $164,600 for Senior Software Engineer Richmond, VA: $144,200 - $164,600 for Senior Software 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).

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.

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 Senior Software Manager you'll have the opportunity to be on the forefront of building this business and bring these tools to market. What You'll Do: Lead a team of developers with deep experience in distributed microservices, and full stack systems to create robust, cloud native, resilient, and highly scalable solutions in data management and security domains Is an inspirational leader, has a talent growth strategy by attracting and retaining talent, involved heavily in hiring process and practice, continues to create high levels of energy and motivation through challenges and obstacles, and proactively manages all talent by actively coaching and improving the performance of directs Has a strong engineering and technology background with the ability to learn quickly and go deep into our product and engineering solutions Help accelerate adoption of the very best engineering practices, while maintaining knowledge on industry innovations, trends and practices to curate a continual stream of incubated projects and create rapid product prototypes Promote a culture of engineering excellence and being well-managed, using opportunities to reuse and innersource solutions where possible. Lead the craftsmanship, availability, resilience, and scalability of your solutions Be the guiding force for stakeholders in design and architecture discussions, helping the engineering teams make key technology choices, and staying associated with the use case through its development lifecycle Effectively communicate with and influence key stakeholders across the enterprise at all levels of the organization. Proven collaborator and have the ability to build very strong partnerships with others to gain the trust and confidence of those around them, from hands on engineers to executives Basic Qualifications: Bachelor's Degree At least 8 years of experience in software engineering (Internship experience does not apply) At least 1 year experience with cloud computing (AWS, Microsoft Azure, Google Cloud) At least 4 years of people management experience Preferred Qualifications: Master's Degree 10+ years of experience in software engineering in one or more of the following: GoLang, Java, Python, React, Rust, or C++ 3+ years of experience in two or more of the following: GoLang, Java, Python, Lua, React, Nginx, Rust, or C++ 5+ years of experience with AWS, GCP, Azure, or another cloud service 2+ years of experience with containerization technologies 4+ years of experience in open source frameworks 5+ years of people management experience 2+ years of experience in Big Data, Data Security, Governance and Controls 2+ years of experience in front-end development 2+ years of experience in Agile practices Capital One will consider sponsoring a new qualified 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): $204,900 - $233,800 for Sr. Mgr, Software Engineering Richmond, VA: $204,900 - $233,800 for Sr. Mgr, Software Engineering 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. As a Capital One Machine Learning Engineer (MLE), you'll be part of software team dedicated to producing machine learning applications and systems at scale. You'll participate in the detailed technical design, development, and implementation of machine learning applications using existing and emerging technology platforms. You'll focus on machine learning architectural design, develop and review model and application code, and ensure high availability and performance of our machine learning applications. You'll have the opportunity to continuously learn and apply the latest innovations and best practices in machine learning engineering. What you'll do in the role: The MLE role overlaps with many disciplines, such as Ops, Modeling, and Data Engineering. In this role, you'll be expected to perform many ML engineering activities, including one or more of the following: Design, build, and/or deliver ML models and components that solve real-world business problems, while working in collaboration with the Product and Data Science teams. Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues, including choice of model, data, and feature selection, model training, hyperparameter tuning, dimensionality, bias/variance, and validation). Solve complex problems by writing and testing application code, developing and validating ML models, and automating tests and deployment. Collaborate as part of a cross-functional Agile team to create and enhance software that enables state-of-the-art big data and ML applications. Retrain, maintain, and monitor models in production. Leverage or build cloud-based architectures, technologies, and/or platforms to deliver optimized ML models at scale. Construct optimized data pipelines to feed ML models. Leverage continuous integration and continuous deployment best practices, including test automation and monitoring, to ensure successful deployment of ML models and application code. Ensure all code is well-managed to reduce vulnerabilities, models are well-governed from a risk perspective, and the ML follows best practices in Responsible and Explainable AI. Use programming languages like Python, Scala, or Java. Basic Qualifications: Bachelor's degree At least 8 years of experience designing and building data-intensive solutions using distributed computing (Internship experience does not apply) At least 4 years of experience programming with Python, Scala, or Java At least 3 years of experience building, scaling, and optimizing ML systems At least 2 years of experience leading teams developing ML solutions At least 4 years of people management experience. Preferred Qualifications: Master's or doctoral degree in computer science, electrical engineering, mathematics, or a similar field 4+ years of on-the-job experience with an industry recognized ML framework such as scikit-learn, PyTorch, Dask, Spark, or TensorFlow 3+ years of experience developing performant, resilient, and maintainable code 3+ years of experience with data gathering and preparation for ML models Experience developing and deploying ML solutions in a public cloud such as AWS, Azure, or Google Cloud Platform 3+ years of experience building production-ready data pipelines that feed ML models Ability to communicate complex technical concepts clearly to a variety of audiences ML industry impact through conference presentations, papers, blog posts, open source contributions, or patents Capital One will consider sponsoring a new qualified 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): $204,900 - $233,800 for Sr. Mgr, Machine Learning Engineering Richmond, VA: $204,900 - $233,800 for Sr. Mgr, Machine Learning Engineering 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 Senior Manager of Software Engineering, you'll have the opportunity to be on the forefront of building this business and bring these tools to market. What You'll Do: Lead a portfolio of diverse technology projects and a team of developers with deep experience in distributed microservices, and full stack systems to create solutions that help meet regulatory needs for the company Share your passion for staying on top of tech trends, experimenting with and learning new technologies, participating in internal & external technology communities, mentoring other members of the engineering community, and from time to time, be asked to code or evaluate code Collaborate with digital product managers, and deliver robust cloud-based solutions that drive powerful experiences to help millions of Americans achieve financial empowerment Utilize programming languages like Java, Python, SQL, Node, Go, and Scala, Open Source RDBMS and NoSQL databases, Container Orchestration services including Docker and Kubernetes, and a variety of AWS tools and services Basic Qualifications: Bachelor's Degree At least 6 years of professional software engineering experience (Internship experience does not apply) At least 1 year experience with cloud computing (AWS, Microsoft Azure, Google Cloud) At least 4 years of people management experience Preferred Qualifications: Master's Degree 9+ years of experience in at least one of the following: Java, Scala, Python, Go, or Node.js 3+ years of experience in big data technologies 3+ years of experience with Distributed data/computing tools (MapReduce, Hadoop, Hive, EMR, Kafka, Spark, Gurobi, or MySQL) 3+ years of experience with industry recognized ML frameworks such as scikit-learn, PyTorch, Dask, Spark, or TensorFlow 3+ years of experience building production-ready data pipelines that feed ML models 3+ years of experience building, scaling, and optimizing ML systems 2+ years of experience leading teams developing ML solutions 3+ years of experience with AWS, GCP, Azure, or another cloud service 4+ years of experience in open source frameworks 7+ years of people management experience 2+ years of experience in Agile 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): $204,900 - $233,800 for Sr. Mgr, Software Engineering Richmond, VA: $204,900 - $233,800 for Sr. Mgr, Software Engineering 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).

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.

Do you love building and pioneering in the technology space? Do you enjoy solving complex business problems in a fast-paced, collaborative, inclusive, and iterative delivery environment? At Capital One, you'll be part of a big group of makers, breakers, doers and disruptors, who solve real problems and meet real customer needs. Capital One Shopping is looking for our next Site Reliability Engineer. This position will be a great fit for anyone who wants to optimize, automate and expand business-critical services to a constantly growing customer base. At Capital One Shopping we leverage technology and data to find the best deals for our customers while they shop. To do this we handle huge volumes of data and network traffic; as we grow we need engineers who are ready to help optimize our existing systems and build the next generation of capabilities to support our users and merchants. What You'll Do: Lead a portfolio of diverse technology projects with deep experience in distributed microservices and full stack systems to create solutions that help meet regulatory needs for the company Regularly contribute across multiple code bases to deliver performance, regulatory, reliability and revenue improvements for the business Contribute to platforms that enable the success of developers, account managers, business partners and our customers Improve visibility to business-critical transactions, guide the creation of SLOs and influence the management of error budgets Share your passion for staying on top of tech trends, experimenting with and learning new technologies, participating in internal & external technology communities, mentoring other members of the engineering community, and from time to time, be asked to code or evaluate code Collaborate with digital product managers, and deliver robust cloud-based solutions that drive powerful experiences to help millions of Americans achieve financial empowerment Leverage NodeJS, Docker, AWS, Kafka, Cassandra, Opensearch, Postgres and other technologies to optimize software for ideal business outcomes Basic Qualifications: Bachelor's Degree At least 6 years of professional software engineering experience (Internship experience does not apply) At least 1 year experience with cloud computing (AWS, Microsoft Azure, Google Cloud) Preferred Qualifications: Master's Degree 9+ years of experience in at least one of the following: Node.js, Go, or Python 3+ years of experience with AWS 3+ years of experience in security and performance tuning for internet-scale microservices 3+ years of on-call experience for internet-scale microservices Capital One will consider sponsoring a new qualified 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): $204,900 - $233,800 for Sr. Lead Software Engineer McLean, VA: $225,400 - $257,200 for Sr. Lead Software 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).

**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.

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.

**Hybrid:** This role is categorized as hybrid. This means the successful candidate is expected to report onsite at the Mountain View, CA or Austin, TX location at least three times per week minimum or other frequency dictated by the business. This job may be eligible for relocation benefits. Join the MyAccount team, the group behind one of GM's most impactful customer-facing web applications. MyAccount empowers millions of users worldwide to manage their GM experience-from creating and managing accounts to updating personal information, configuring security settings, connecting to their vehicles, enrolling in rewards programs, and accessing a wide range of high-value services. MyAccount supports global markets across multiple regions and languages, delivering seamless and secure digital experiences at scale. As a Senior Software Engineer, you will lead the development of cutting-edge web applications that deliver exceptional user experiences. You'll be responsible for the full application lifecycle-from concept through deployment and ongoing maintenance. Collaborating closely with UI/UX designers, product managers, and fellow engineers, you will translate ideas into functional, visually compelling, and high-performance web applications. Your deep expertise in modern web development frameworks and platforms will be key to building scalable, user-friendly, and feature-rich solutions at a global scale. **What You'll Do** + Develop web applications using Angular and React frameworks, JavaScript, and TypeScript + Design and develop application programming interfaces (APIs) to enable core functionality + Stay current with industry trends, concepts, and best practices + Collaborate with cross-functional teams to build robust applications in a fast-paced, dynamic environment + Develop unit and automated tests to ensure high code quality and application reliability + Apply standard design patterns and utilize established frameworks throughout all phases of the software development lifecycle + Ensure system monitoring and alerting are in place for both existing applications and new features to detect performance degradation + Proactively identify and remediate software issues, including code quality concerns, design pattern inconsistencies, and security vulnerabilities in code, configuration, or solution architecture + Foster a culture of collaboration and knowledge sharing by documenting proposed software solutions and existing systems to maintain alignment with GM engineering standards + Consistently uphold compliance with GM standards and industry best practices + Hold yourself and peers accountable for exemplifying GM's values and cultural behaviors + Take a leadership role within the team by coaching and mentoring peers, while aligning daily efforts with both corporate and team objectives **Required Qualifications** + Bachelor's degree in Computer Science or a related field, or equivalent practical experience + 5+ years of experience in software development, including 2+ years focused on web application development + Must have hands-on experience contributing to software project delivery, including deployment activities + Strong understanding of software testing, quality assurance, and solution validation, including test automation + Proficient in maintaining and debugging live software applications to ensure stability and performance **Preferred Qualifications** + Master's degree in Computer Science or a related field + 3+ years of experience with modern web frameworks such as Next.js, Angular, React, or Ember **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 + **Compensation:** The expected base compensation for this role is **: $158,000 - $241,900** Actual base compensation within the identified 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. **\#LI-EL1** **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.

_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.

**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.