Staff Engineer jobs at Genuine Parts - 2456 jobs

An automotive giant is seeking a Staff ML Engineer for their ML Compute Platform to scale backend services and contribute to AI infrastructure. Responsibilities include designing software components, improving system efficiency, and leading initiatives. Candidates should have 7+ years of experience and expertise in languages like Go, C++, or Python, as well as a solid background in distributed systems. Join a team that's transforming mobility and tackling complex engineering challenges with AI applications. #J-18808-Ljbffr

A leading automotive company in Mountain View is seeking an Early Career Machine Learning Engineer to develop cutting-edge AI systems for vehicle design and manufacturing. The role requires collaboration with senior engineers, and candidates must have a relevant PhD or Master's degree. Competitive salary range from $130,000 to $170,000, plus benefits including health programs and possible relocation assistance. #J-18808-Ljbffr

The Offline Driving Intelligence team is responsible for developing Foundation Models for prediction and planning, applying them both off-vehicle to provide ML capabilities to simulation and validation and on-vehicle to influence driving models. Our team collaborates closely with the Planner team to advance overall vehicle behavior. We also work closely with our Perception, Simulation, and Systems Engineering teams to accelerate our ability to validate our driving performance. As a Prediction and Planning Machine Learning Engineer you will work on the bleeding edge of the industry, developing novel machine learning pipelines and models to predict the behavior of other agents in the world and planning the best course of action for the ego vehicle. In this role, you will: Develop new deep learning models that use imitation learning and reinforcement learning to generate driving plans for our autonomous vehicle. You will also work on novel techniques to estimate the quality of those driving plans along the dimensions of safety, progress, comfort, compliance. Contribute to our large-scale machine learning infrastructure to discover new solutions and push the boundaries of the field Develop metrics and tools to analyze errors and understand improvements of our systems Collaborate with engineers on Perception, Planning, and Simulation to solve the overall Autonomous Driving problem in complex urban environments Qualifications PhD degree in Computer Science or related field +1 year of professional experience (top tier publications can remove the need for the year of experience) OR MSc +5y of professional experience in a relevant field. Experience in Planning and / or Prediction using Reinforcement Learning techniques Experience with training and deploying transformer-based model architectures Experience with production Machine Learning pipelines: dataset creation, training frameworks, metrics pipelines Fluency in C++ or Fluency in Python with a basic understanding of C++ Bonus Qualifications Top tier publications (NeurIPS, ICML, CVPR) $214,000 - $257,000 a year Base Salary Range There are three major components to compensation for this position: salary, Amazon Restricted Stock Units (RSUs), and Zoox Stock Appreciation Rights. A sign‑on bonus may be offered as part of the compensation package. The listed range applies only to the base salary. Compensation will vary based on geographic location and level. Leveling, as well as positioning within a level, is determined by a range of factors, including, but not limited to, a candidate's relevant years of experience, domain knowledge, and interview performance. The salary range listed in this posting is representative of the range of levels Zoox is considering for this position. Zoox also offers a comprehensive package of benefits, including paid time off (e.g. sick leave, vacation, bereavement), unpaid time off, Zoox Stock Appreciation Rights, Amazon RSUs, health insurance, long‑term care insurance, long‑term and short‑term disability insurance, and life insurance. #J-18808-Ljbffr

A leading automotive company is seeking a Senior Drive Unit Design Engineer to spearhead the design and development of next generation EV drivetrains. This role involves working within a lubrication and cooling team, owning hardware projects from concept to production, and requires a strong background in engineering. Join a team dedicated to creating a fully electric transportation future, delivering exceptional customer experience and driving positive change in the automotive industry. #J-18808-Ljbffr

We are the movers of the world and the makers of the future. We get up every day, roll up our sleeves and build a better world -- together. At Ford, we're all a part of something bigger than ourselves. Are you ready to change the way the world moves? Ford's Electric Vehicles, Digital and Design (EVDD) team is charged with delivering the company's vision of a fully electric transportation future. EVDD is customer-obsessed, entrepreneurial, and data-driven and is dedicated to delivering industry-leading customer experience for electric vehicle buyers and owners. You'll join an agile team of doers pioneering our EV future by working collaboratively, staying focused on only what matters, and delivering excellence day in and day out. Join us to make positive change by helping build a better world where every person is free to move and pursue their dreams. In this position... As a Senior Drive Unit Design engineer, you will be responsible for design and development of Ford's next generation EV drivetrains. You will work within the lubrication and cooling team developing production hardware. You will own hardware from concept to production with exposure to sourcing, validation, and ramp. #J-18808-Ljbffr

About Us Point One Navigation is building the future of precise location. Our mission is to deliver a unified location platform that enables autonomy, safety, and efficiency across industries from robotics to transportation. We are a high-performance, high-collaboration team that thrives on solving complex problems, moving fast, and delivering impact. Role Outcome We are looking for a Field Application Engineer (FAE) based in US to support technical adoption and success of our GNSS/GPS SaaS solutions across key accounts globally. You will play a vital role in the go-to-market process, partnering closely with Sales, Product, Customer Success, and Engineering teams around the world. As an FAE you will provide technical advisory and expertise on full system design, have the ability to not only build technical relationships but effectively influence lead engineer and technical decisions through technical storytelling. Must be deeply interested in debugging/troubleshooting/investigating technical challenges. Success in this role means being responsible and owning technical wins and cultivating technical champions with prospects and customers. You'll work with prospects and customers in verticals such as autonomous vehicles, robotics, drones, industrial automation, and precision agriculture. From designing proof-of-concepts to architecture reviews to post-sales support, you'll be instrumental in helping customers succeed with our technology. Immediate Areas of Focus Pre-Sales Technical Engagement: Partner with the Sales team to understand customer needs and deliver technical presentations, workshops, and demos. Design and execute proof-of-concepts (PoCs) to engage deeply with engineering teams and technical stakeholders to guide them through product evaluation and decision-making. Solution Architecture & Design: Lead customers through architecture reviews, deployment planning, and systems integration design involving GNSS corrections, cloud services, autonomy stacks, and embedded systems. Recommend scalable integration strategies and help customers plan for high-precision, real-time positioning deployments. Post-Sales Technical Enablement & Support: Support product integration, onboarding and adoption by providing hands-on technical guidance, documentation, and training. Act as the technical liaison between the customer and internal teams to troubleshoot issues and optimize performance. Ensure successful long-term product usage and contribute to technical success planning for key accounts. Global & Regional Collaboration: Work in close coordination with global counterparts in North America, EU, APAC to ensure alignment on strategy, resources, and product support. Serve as a bridge between customers and the global product/engineering organization, bringing localized insight to the global roadmap. Support internal initiatives such as solution standardization, reusable assets, demo environments, and training content. Qualifications 2+ years of customer facing engineering role 2+ years in a hardware, software and/or GNSS space Ability to travel 25% of time Our Cultural Foundation At Point One, our cultural and operating design is built around one guiding principle: we must move with extreme speed and efficiency of effort to stay in a leadership position. This environment gives people a high level of autonomy and the ability to make a real impact. It also challenges every team member to grow - both professionally and personally. Because we focus on promoting from within rather than relying on external hiring, the opportunities for advancement are tremendous for those who seek them. That said, growth only comes from delivering in the present. What matters most is the job to be done today, not the job you want tomorrow. When we all focus on today's outcomes with excellence, the path to greater responsibility and growth naturally follows. We think about our culture in two dimensions: How We Show Up Every Day These are the behaviors we expect every team member to bring to work - the foundation of being a consummate, high-output teammate: Trust / Assume Best Intent - Trust allows us to move fast. When we start from trust, we spend no time second-guessing or looking for ulterior motives and thus focus all our energy on acting. High Output, Action Oriented - Our default posture is “yes.” We bias toward action and deliver results quickly, knowing that speed and efficiency compound into impact as we unblock others around us. Divine Discontent - We're never satisfied with the status quo and are self-motivated to improve ourselves, our work, and our company. We actively seek feedback in real-time to shorten improvement cycles. No Ego, One Team - Collaboration without ego creates leverage. When we win as one team, we eliminate friction and move faster together. Self Accountability - Taking ownership is the straightest line to learning, self-improvement, and correcting our course of action. And blaming others around us is a fast path to destroying trust. Operating Principles These are the systems and norms that amplify speed and efficiency at the company level: Edge Innovation - We bias toward action over approval. Experiment, decide, and move - failure is just a step toward faster learning. No Hierarchies - We practice self-prioritization and go direct to the source. Flattening layers reduces drag and maximizes autonomy. Customer Experience First - We optimize for the end-to-end customer outcome, not functional or departmental efficiency. This focus cuts waste, aligns priorities, and ensures we spend effort where it matters most. If this role sounds like a fit, we'd love to hear from you. Apply below and join us in shaping the future of precise location. #J-18808-Ljbffr

A technology solutions provider is seeking a Field Application Engineer to support technical adoption of GNSS/GPS SaaS solutions. This role involves working with sales and product teams to deliver presentations and lead architecture reviews. The ideal candidate will have 2+ years in a customer-facing role and experience in hardware or software. A willingness to travel 25% of the time is required. Join a dynamic team and contribute to the future of precise location in various industries. #J-18808-Ljbffr

About Us Rivian and Volkswagen Group Technologies is a joint venture between two industry leaders with a clear vision for automotive's next chapter. From operating systems to zonal controllers to cloud and connectivity solutions, we're addressing the challenges of electric vehicles through technology that will set the standards for software-defined vehicles around the world. The road to the future is uncharted. By combining our expertise across connectivity, AI, security and more, we'll map a new way forward. Working together, we'll create a future that's more connected, more intelligent, more sustainable for everyone. Role Summary As an engineer focusing on cellular and wireless integration for the Connected Systems Integration Team at R|V Tech, you will work alongside software developers, systems integrators, and system engineers to support features such as cellular, WiFi, Ethernet and GPS domains along with telematics, mobile app integration, and other Internet-dependent vehicle features, with a primary focus on cellular systems integration and bring-up. The cellular and wireless integration engineer will execute tests and integration of connectivity features and will also contribute to automation of these tests (in Python). The cellular and wireless integration engineer may also support other vehicle development activities which require connectivity support. These development activities may include drives in pre-production vehicles and will provide exposure to vehicle networks, cloud connectivity, and fleet management. The connectivity integration engineer may support time-critical test events and may be asked to support special investigations and projects. Responsibilities Your typical day looks like this: Attend meetings with development teams to understand new system designs and to align on test plans and expectations. Create design documentation and test plans for a new cellular feature implementation. Perform cellular testing using a specialized test chamber and test equipment; work with test equipment vendors to ensure compatibility and system integrity for automation. Perform complementary cellular testing on-vehicle using a prototype or fleet vehicle. Analyze logs from internal and external bugs to assess root cause of failure and create new work scope for dev teams. Core capabilities and behaviors should include: Strong fundamentals for test execution and documentation. The ability to correlate meaningful feedback from disparate data sets. Keen observation skills of wireless (WiFi, 5G, LTE, GPS, Bluetooth) behavior and performance. Deep understanding of telematics, end-to-end data routing and validation of data fidelity and frequency over different data links. Understanding of middleware and layered/encapsulated network schemes. Native Linux proficiency (command-line, tools, bring-up); embedded Linux a plus. Ability to identify and distinguish issues in hardware and/or software. Engage in discussions to test, bug fix, and optimize feature development based on data. Qualifications Bachelor's degree in either Computer Science, Computer Engineering, Electrical Engineering, Software Engineering, or Information Systems. Good understanding of 5GNR and LTE protocol stack. A working understanding of the OSI model and network protocols. Basic proficiency with scripting languages including Python and/or Shell. Basic proficiency with database manipulation and data presentation. Triage and diagnosis of complex connectivity issues to include root cause analysis, stability, and interoperability problems. A mindset geared towards collaboration and forward progress. Ability to thrive under pressure and time constraints. Availability to travel and/or support activities during off-peak hours as-needed. Pay Disclosure Salary Range/Hourly Rate for Palo Alto, California Based Applicants: $117,000 - $149,000 USD (actual compensation will be determined based on experience, location, and other factors permitted by law). Benefits Summary: Rivian and Volkswagen Group Technologies provides robust medical/Rx, dental and vision insurance packages for full-time and part-time employees, their spouse or domestic partner, and children up to age 26. Full Time Employee coverage is effective on the first day of employment. Part-Time employee coverage is effective the first of the month following 90 days of employment. Equal Opportunity Rivian and Volkswagen Group Technologies is committed to creating a diverse environment and is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, ancestry, sex, sexual orientation, gender, gender expression, gender identity, genetic information or characteristics, physical or mental disability, marital/domestic partner status, age, military/veteran status, medical condition, or any other characteristic protected by law. We are also committed to ensuring compliance with all applicable fair employment practice laws regarding citizenship and immigration status. Rivian and Volkswagen Group Technologies is committed to ensuring that our hiring process is accessible for persons with disabilities. If you have a disability or limitation, such as those covered by the Americans with Disabilities Act, that requires accommodations to assist you in the search and application process, please email us at candidateaccommodations@rivian.com. Candidate Data Privacy Rivian and VW Group Technologies (“Rivian and Volkswagen Group Technologies”) may collect, use and disclose your personal information or personal data (within the meaning of the applicable data protection laws) when you apply for employment and/or participate in our recruitment processes (“Candidate Personal Data”). This data includes contact, demographic, communications, educational, professional, employment, social media/website, network/device, recruiting system usage/interaction, security and preference information. Rivian and VW Group Technologies may use your Candidate Personal Data for the purposes of (i) tracking interactions with our recruiting system; (ii) carrying out, analyzing and improving our application and recruitment process, including assessing you and your application and conducting employment, background and reference checks; (iii) establishing an employment relationship or entering into an employment contract with you; (iv) complying with our legal, regulatory and corporate governance obligations; (v) recordkeeping; (vi) ensuring network and information security and preventing fraud; and (vii) as otherwise required or permitted by applicable law. Rivian and Volkswagen Group Technologies may share your Candidate Personal Data with (i) internal personnel who have a need to know such information in order to perform their duties, including individuals on our People Team, Finance, Legal, and the team(s) with the position(s) for which you are applying; (ii) Rivian and Volkswagen Group Technologies affiliates; and (iii) Rivian and Volkswagen Group Technologies' service providers, including providers of background checks, staffing services, and cloud services. Rivian and Volkswagen Group Technologies may transfer or store internationally your Candidate Personal Data, including to or in the United States, Canada, and the European Union and in the cloud, and this data may be subject to the laws and accessible to the courts, law enforcement and national security authorities of such jurisdictions. Please see our Candidate Data Privacy Notice (English) and Candidate Data Privacy Notice (Serbian) for more information. Please note that we are currently not accepting applications from third party application services. #J-18808-Ljbffr

About Us Rivian and Volkswagen Group Technologies is a joint venture between two industry leaders with a clear vision for automotive's next chapter. From operating systems to zonal controllers to cloud and connectivity solutions, we're addressing the challenges of electric vehicles through technology that will set the standards for software-defined vehicles around the world. The road to the future is uncharted. By combining our expertise across connectivity, AI, security and more, we'll map a new way forward. Working together, we'll create a future that's more connected, more intelligent, more sustainable for everyone. Role Summary As an engineer focusing on cellular and wireless integration for the Connected Systems Integration Team at R|V Tech, you will work alongside software developers, systems integrators, and system engineers to support features such as cellular, WiFi, Ethernet and GPS domains along with telematics, mobile app integration, and other Internet-dependent vehicle features, with a primary focus on cellular systems integration and bring-up. The cellular and wireless integration engineer will execute tests and integration of connectivity features and will also contribute to automation of these tests (in Python). The cellular and wireless integration engineer may also support other vehicle development activities which require connectivity support. These development activities may include drives in pre-production vehicles and will provide exposure to vehicle networks, cloud connectivity, and fleet management. The connectivity integration engineer may support time-critical test events and may be asked to support special investigations and projects. Responsibilities Your typical day looks like this: Attend meetings with development teams to understand new system designs and to align on test plans and expectations. Create design documentation and test plans for a new cellular feature implementation. Perform cellular testing using a specialized test chamber and test equipment; work with test equipment vendors to ensure compatibility and system integrity for automation. Perform complementary cellular testing on-vehicle using a prototype or fleet vehicle. Analyze logs from internal and external bugs to assess root cause of failure and create new work scope for dev teams. Core capabilities and behaviors should include: Strong fundamentals for test execution and documentation. The ability to correlate meaningful feedback from disparate data sets. Keen observation skills of wireless (WiFi, 5G, LTE, GPS, Bluetooth) behavior and performance. Deep understanding of telematics, end-to-end data routing and validation of data fidelity and frequency over different data links. Understanding of middleware and layered/encapsulated network schemes. Native Linux proficiency (command-line, tools, bring-up); embedded Linux a plus. Ability to identify and distinguish issues in hardware and/or software. Engage in discussions to test, bug fix, and optimize feature development based on data. Qualifications Bachelor's degree in either Computer Science, Computer Engineering, Electrical Engineering, Software Engineering, or Information Systems. Good understanding of 5GNR and LTE protocol stack. A working understanding of the OSI model and network protocols. Basic proficiency with scripting languages including Python and/or Shell. Basic proficiency with database manipulation and data presentation. Triage and diagnosis of complex connectivity issues to include root cause analysis, stability, and interoperability problems. A mindset geared towards collaboration and forward progress. Ability to thrive under pressure and time constraints. Availability to travel and/or support activities during off-peak hours as-needed. Pay Disclosure Salary Range/Hourly Rate for Palo Alto, California Based Applicants: $117,000 - $149,000 USD (actual compensation will be determined based on experience, location, and other factors permitted by law). Benefits Summary: Rivian and Volkswagen Group Technologies provides robust medical/Rx, dental and vision insurance packages for full-time and part-time employees, their spouse or domestic partner, and children up to age 26. Full Time Employee coverage is effective on the first day of employment. Part-Time employee coverage is effective the first of the month following 90 days of employment. Equal Opportunity Rivian and Volkswagen Group Technologies is committed to creating a diverse environment and is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, ancestry, sex, sexual orientation, gender, gender expression, gender identity, genetic information or characteristics, physical or mental disability, marital/domestic partner status, age, military/veteran status, medical condition, or any other characteristic protected by law. We are also committed to ensuring compliance with all applicable fair employment practice laws regarding citizenship and immigration status. Rivian and Volkswagen Group Technologies is committed to ensuring that our hiring process is accessible for persons with disabilities. If you have a disability or limitation, such as those covered by the Americans with Disabilities Act, that requires accommodations to assist you in the search and application process, please email us at candidateaccommodations@rivian.com. Candidate Data Privacy Rivian and VW Group Technologies (“Rivian and Volkswagen Group Technologies”) may collect, use and disclose your personal information or personal data (within the meaning of the applicable data protection laws) when you apply for employment and/or participate in our recruitment processes (“Candidate Personal Data”). This data includes contact, demographic, communications, educational, professional, employment, social media/website, network/device, recruiting system usage/interaction, security and preference information. Rivian and VW Group Technologies may use your Candidate Personal Data for the purposes of (i) tracking interactions with our recruiting system; (ii) carrying out, analyzing and improving our application and recruitment process, including assessing you and your application and conducting employment, background and reference checks; (iii) establishing an employment relationship or entering into an employment contract with you; (iv) complying with our legal, regulatory and corporate governance obligations; (v) recordkeeping; (vi) ensuring network and information security and preventing fraud; and (vii) as otherwise required or permitted by applicable law. Rivian and Volkswagen Group Technologies may share your Candidate Personal Data with (i) internal personnel who have a need to know such information in order to perform their duties, including individuals on our People Team, Finance, Legal, and the team(s) with the position(s) for which you are applying; (ii) Rivian and Volkswagen Group Technologies affiliates; and (iii) Rivian and Volkswagen Group Technologies' service providers, including providers of background checks, staffing services, and cloud services. Rivian and Volkswagen Group Technologies may transfer or store internationally your Candidate Personal Data, including to or in the United States, Canada, and the European Union and in the cloud, and this data may be subject to the laws and accessible to the courts, law enforcement and national security authorities of such jurisdictions. Please see our Candidate Data Privacy Notice (English) and Candidate Data Privacy Notice (Serbian) for more information. Please note that we are currently not accepting applications from third party application services. #J-18808-Ljbffr

A leading automotive company in San Francisco seeks a versatile technical artist to create high-fidelity simulations for autonomous vehicles. You will be responsible for developing advanced asset pipelines, integrating creative tools, and optimizing performance for complex virtual environments. The ideal candidate has over 5 years of experience in technical artistry and strong skills in Python and C++. This is an exciting opportunity to impact the future of self-driving technology. #J-18808-Ljbffr

Work Arrangement: This role is categorized as hybrid. This means the successful candidate is expected to report to the office three times per week or any other frequency dictated by the business. About the Team: Our AI Research team, reporting directly to the Chief AI Officer, is pioneering how cutting-edge machine learning can transform the way vehicles are designed, manufactured, and experienced. We are building the next generation of intelligent systems-integrating multimodal foundation models, generative AI, robotics and predictive maintenance into real-world automotive innovation at global scale. The Role: As an Early Career Machine Learning Engineer, you will contribute to the development of end-to-end AI/ML systems that solve high-stakes problems in robotics and manufacturing at scale. You will work closely with senior engineers and researchers to design, prototype, and deploy state-of-the-art AI models with direct application to vehicle design, manufacturing operations, robotics, and simulation of physical systems. You will have the opportunity to translate cutting-edge research into production systems, collaborate with a world-class team of scientists and engineers, and grow your expertise while contributing to GM's AI research agenda and engaging with the broader AI community. What You'll Do: Adapt machine learning architectures for complex industrial applications, including computer vision, robotic manipulation, predictive maintenance, and process optimization Build end-to-end deep learning pipelines that handle multi-modal sensor data (vision, force/torque, proprioception, environmental sensors) Contribute to the development of foundation models and transfer learning frameworks that generalize across diverse industrial scenarios and equipment types Contribute to the development of data collection and annotation strategies to build high quality datasets for training and validating models in industrial settings Work with partner teams to translate technical requirements into ML solutions and support integration efforts Own the deployment and monitoring of ML models in production environments Publish research findings in top-tier venues (for example, NeurIPS, ICML, CVPR) and contribute to GM's presence in the research community Minimum Qualifications: Currently has, or is in the process of obtaining a PhD in the field of Computer Science, Machine Learning, or a related field (STEM focused), or a Master's degree with significant ongoing AI/ ML contributions. PhD Degree must be completed prior to joining General Motors Able to work full time, 40 hours per week What will give you a Competitive Edge (Preferred Qualifications): In depth knowledge about modern deep learning architectures-Transformers, Diffusion Models, CNNs and model training techniques at scale Strong hands-on experience with at least one of the popular AI/ML frameworks (PyTorch, Tensorflow, Keras or JAX) Experience with anomaly detection and predictive maintenance applications through course work, research or projects Experience with reinforcement learning for robotic control or process optimization through course work, research or projects Experience training multimodal deep learning models Demonstrated research contributions in AI/ML technologies through publication of PhD research in top‑tier conferences or journals Ability to formulate research questions from ambiguous problems and apply rigorous experimental methodology including hypothesis formation, evaluation, and statistical analysis Demonstrated track record of publications in top AI/ML conferences or patents demonstrating novel contributions to the field Strong programming skills in Python and familiarity with one or more of systems languages (C++/Java) 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 the California Bay Area. The salary range for this role is $130,000 - $170,,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. What you'll get from us (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. This job may be eligible for relocation benefits. #J-18808-Ljbffr

A leading automotive technology company in California is seeking a Cellular and Wireless Integration Engineer to work on connectivity features for vehicles. This role involves cellular testing, documentation, and collaboration with development teams. Ideal candidates hold a Bachelor's degree in a relevant field and possess a solid understanding of 5G and LTE protocols. A keen interest in telematics and Linux proficiency are critical. Competitive salary and benefits package offered. #J-18808-Ljbffr

A leading automotive technology company in California is seeking a Cellular and Wireless Integration Engineer to work on connectivity features for vehicles. This role involves cellular testing, documentation, and collaboration with development teams. Ideal candidates hold a Bachelor's degree in a relevant field and possess a solid understanding of 5G and LTE protocols. A keen interest in telematics and Linux proficiency are critical. Competitive salary and benefits package offered. #J-18808-Ljbffr

**Job Description****Staff ML Engineer, ML Compute Platform****About the Team:**The ML Compute Platform is part of the AI Compute Platform organization within Infrastructure Platforms. Our team owns the cloud-agnostic, reliable, and cost-efficient compute backend that powers GM AI. We're proud to serve as the AI infrastructure platform for teams developing autonomous vehicles (L3/L4/L5), as well as other groups building AI-driven products for GM and its customers.We enable rapid innovation and feature development by optimizing for high-priority, ML-centric use cases. Our platform supports the training and deployment of state-of-the-art (SOTA) machine learning models with a focus on performance, availability, concurrency, and scalability. We're committed to maximizing GPU utilization across platforms while maintaining reliability and cost efficiency. **About the Role:**We are looking for a Staff Software Engineer to join our team and help us scale our platform for performance, reliability, and usability. You'll be responsible for building critical backend services, integrating with GPU hardware and orchestration systems, and driving improvements to both system architecture and user experience.This is a hands-on engineering role that requires a strong background in distributed systems, infrastructure, and a product mindset with a keen eye for user experience.**What you'll be doing:*** Design core platform backend software components* Experience cloud platforms like GCP, Azure* Thrive in a dynamic, multi-tasking environment with ever-evolving priorities. Interface with other teams to incorporate their innovations and vice versa* Analyze and improve efficiency, scalability, and stability of various system resources* Proactively identify, drive and design large initiatives across GM ML ecosystem**At a Minimum We'd Like You To Have*** 7+ years of industry experience* Expertise in either Go, C++, Python or other relevant coding languages* Strong background with kubernetes at scale* Relevant experience building large-scale with distributed systems* Experience leading and driving large scale initiatives* Experience working with Google Cloud Platform, Microsoft Azure, or Amazon Web Services**It's Preferred If You Have*** Hands-on experience in ML platforms* Experience with GPU/TPU optimizations* Experience with training frameworks like PyTorch, TorchX* Experience with Ray framework* Leadership/active participation in the open source community* Experience infrastructure applications or similar experience If you're excited to tackle some of today's most complex engineering challenges, see the impact of your work in real-world AV applications, and help shape the future of AI infrastructure at GM-this is the team for you. **Compensation:*** The expected base CA compensation for this role is: $198,900 - $304,800. 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:** 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.**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 .**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 .**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.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.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 . 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. #J-18808-Ljbffr

The Role: We are seeking a Principal AI Engineer to lead the design and advancement of our AI platform. You will play a key role in shaping the infrastructure that powers large-scale training and cloud inference. This includes accelerating training throughput, scaling multi-modal models, and enabling the next generation of AI-driven driving systems. We're tackling challenges across distributed training, training efficiency, DDP/FSDP, data processing pipelines, and Pytorch model optimization. This is a highly impactful position where your technical leadership will define how we scale AI to achieve autonomy. What You'll Do: Architect, build, and optimize core AI/ML platform infrastructure to support massive-scale model training. Collaborate with data scientists, ML engineers, and software developers to enable seamless workflows from research to production. Drive efficiency in large-scale distributed training and data processing pipelines. Establish best practices for reliability, scalability, and performance across the AI/ML platform. Provide technical leadership and mentorship, guiding teams on platform design, architecture decisions, and emerging technologies. Partner with cross-functional stakeholders to align platform capabilities with business needs and strategic AI initiatives. Your Skills & Abilities (Required Qualifications): Bachelor's degree or higher in Computer Science, related field, or equivalent experience. 8+ years of professional software engineering experience. 4+ years of specialized experience in AI/ML domain (e.g., enabling distributed training for large-scale models). Strong programming skills in Python, with proficiency in frameworks such as PyTorch (preferred) or TensorFlow. Experience with distributed systems, GPU computing, and cloud environments (AWS, GCP, or Azure). Comfortable operating in highly ambiguous and dynamic environments. Willingness to travel to Sunnyvale, CA as needed. What Will Give You a Competitive Edge (Preferred Qualifications): Proven track record of self-motivation, execution, and delivering impact. Deep expertise with PyTorch 2.x+ and distributed training frameworks. Strong skills in profiling, analysis, debugging, and optimizing training performance (e.g., avoiding memory fragmentation, operation fusion). Proficiency in C++ for performance-critical components. Experience leading cross-functional projects and aligning diverse stakeholders on priorities. 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 $197,600 to $374,200. 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. Work Location: 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. #J-18808-Ljbffr

Remote: This role is based remotely but if you live within a 50-mile radius of Mountain View, you are expected to report to that location three times a week, at minimum. The Role: We are seeking an experienced, technically oriented, impact-driven expert in ML Training Infrastructure with a strong ability to execute hands-on technical work. In this role, you will be responsible for designing and building scalable, reliable, and high-performance AI/ML platform infrastructure to support advanced AI research and model development initiatives. As a Staff ML System Engineer, you will collaborate closely with machine learning engineers, research scientists, and other partners to develop state-of-the-art AI solutions that enable the future of intelligent driving technologies across General Motors vehicles. What You'll Do: Lead the design and development of scalable, reliable, high-performance ML frameworks to support model training at scale. Lead model training performance analysis and optimization solutions to scale distributed training workflows, maximize resource utilization across heterogeneous hardware environments, and reduce costs. Enhance system observability, debuggability, operational excellence, and user experience. Collaborate with cross-functional teams to integrate new features and technologies into the platform. #J-18808-Ljbffr

We are seeking a Full Stack Developer to develop a table-side food ordering application for in-store use. The role involves creating a user-friendly front-end with React, a robust back-end using Node.js, and managing databases with both SQL and NoSQL. You will integrate real-time order processing, menu updates, and payment gateways to enhance the customer experience. A strong understanding of mobile-first design, POS system integration, and ensuring smooth backend performance is required. Skills Required: React.js and Node.js development SQL & NoSQL databases Payment gateway & POS system integration Real-time order updates & performance optimization

About Rivian Rivian is on a mission to keep the world adventurous forever. This goes for the emissions-free Electric Adventure Vehicles we build, and the curious, courageous souls we seek to attract. As a company, we constantly challenge what's possible, never simply accepting what has always been done. We reframe old problems, seek new solutions and operate comfortably in areas that are unknown. Our backgrounds are diverse, but our team shares a love of the outdoors and a desire to protect it for future generations. Role Summary Join the product development team to drive the production launch of Rivian's future high-voltage power electronics (Propulsion Inverters, On-Board Chargers, DC-DC and DC-AC Converters). This role requires developing and directing comprehensive validation test plans to rigorously demonstrate component compliance across electrical, mechanical, environmental, and durability standards. Based in Torrance, CA, you will be a vital link reporting to the Department Director. Responsibilities 1. Planning & Development (Test Strategy): This involves the initial planning stages, ensuring the validation process aligns with the product's design and requirements. Requirements Interpretation: Working with software and hardware teams to comprehend product requirements and develop test cases. This requires a strong understanding of power electronics design and system-level performance. Test Equipment Definition: Collaborating with the Test Equipment design group to define the Special Test Equipment (STE) capabilities needed for validation. Procedure Creation: Developing detailed test procedures that define specific test setup requirements and instructions. 2. Test Execution & Setup: This covers the hands-on aspects of setting up, leading, and executing the physical testing. Fixture Design: Designing test fixtures specifically required for rigorous vibration and environmental testing. Lab Leadership: Providing direction to lab technicians (both in-house and at 3rd party labs) on setting up and executing validation tests. Specialized Surveys: Leading crucial validation efforts, such as hardware thermal and vibration surveys. 3. Reporting, Analysis, and Documentation: A significant portion of the role involves analyzing results, reporting status, and driving the resolution of problems found during testing. Data Analysis: Creating summary reports and providing data analytics on the data collected during testing. Issue Management: Documenting validation test failures in the problem resolution database and supporting technical root cause analysis and issue resolution Status Reporting: Regularly reporting out the Validation status to the product development and vehicle teams. 4. Cross-Functional and Supplier Management: The engineer acts as a critical link between design, quality, and external partners. Design Participation: Actively participating in design reviews, requirement reviews, and DFMEAs (Design Failure Mode and Effects Analysis) to influence design for reliability and testability. Supplier Oversight: Managing supplier-sourced sub-component validation efforts and ensuring all reported defects are addressed and closed. Qualifications Education: B.S. or advanced degree in Mechanical Engineering, Electrical Engineering, Computer Science, or a related field. Validation & Test Engineering: Proficiency in setting up and executing standard validation tests, including thermal, mechanical (vibration/shock), and electrical testing. Data Acquisition & Analysis: Strong ability to use measurement equipment and analyze large datasets to draw conclusions and identify failure modes. Power Electronics Knowledge: Knowledge of the product being tested (power converters, inverters, on-board chargers, etc.). Troubleshooting & Root Cause Analysis: Excellent problem-solving skills to drive root cause analysis and issue resolution. Familiarity with automotive industry validation standards. Experience using instrumentation (thermocouples, RTDs, strain gauges, accelerometers, pressure gauges, flow meters) Working knowledge of automotive communication protocols (CAN, LIN) Experience with collaboration tools like JIRA, Confluence, & Requirements Management tools. Cross-Functional Communication: Ability to clearly communicate technical findings to diverse teams (hardware, software, manufacturing, and management). Ability to adapt to change in a fast-paced development environment. Ability to travel as needed. Pay Disclosure Salary Range for California Based Candidates: $98,500 - $123,100.00 (actual compensation will be determined based on experience, location, and other factors permitted by law). Benefits Summary: Rivian provides robust medical/Rx, dental and vision insurance packages for full-time employees, their spouse or domestic partner, and children up to age 26. Coverage is effective on the first day of employment, and Rivian covers most of the premiums. Equal Opportunity Rivian is an equal opportunity employer and complies with all applicable federal, state, and local fair employment practices laws. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, ancestry, sex, sexual orientation, gender, gender expression, gender identity, genetic information or characteristics, physical or mental disability, marital/domestic partner status, age, military/veteran status, medical condition, or any other characteristic protected by law. Rivian is committed to ensuring that our hiring process is accessible for persons with disabilities. If you have a disability or limitation, such as those covered by the Americans with Disabilities Act, that requires accommodations to assist you in the search and application process, please email us at candidateaccommodations@rivian.com. Candidate Data Privacy Rivian may collect, use and disclose your personal information or personal data (within the meaning of the applicable data protection laws) when you apply for employment and/or participate in our recruitment processes ("Candidate Personal Data"). This data includes contact, demographic, communications, educational, professional, employment, social media/website, network/device, recruiting system usage/interaction, security and preference information. Rivian may use your Candidate Personal Data for the purposes of (i) tracking interactions with our recruiting system; (ii) carrying out, analyzing and improving our application and recruitment process, including assessing you and your application and conducting employment, background and reference checks; (iii) establishing an employment relationship or entering into an employment contract with you; (iv) complying with our legal, regulatory and corporate governance obligations; (v) recordkeeping; (vi) ensuring network and information security and preventing fraud; and (vii) as otherwise required or permitted by applicable law. Rivian may share your Candidate Personal Data with (i) internal personnel who have a need to know such information in order to perform their duties, including individuals on our People Team, Finance, Legal, and the team(s) with the position(s) for which you are applying; (ii) Rivian affiliates; and (iii) Rivian's service providers, including providers of background checks, staffing services, and cloud services. Rivian may transfer or store internationally your Candidate Personal Data, including to or in the United States, Canada, the United Kingdom, and the European Union and in the cloud, and this data may be subject to the laws and accessible to the courts, law enforcement and national security authorities of such jurisdictions. Please note that we are currently not accepting applications from third party application services. Education: B.S. or advanced degree in Mechanical Engineering, Electrical Engineering, Computer Science, or a related field. Validation & Test Engineering: Proficiency in setting up and executing standard validation tests, including thermal, mechanical (vibration/shock), and electrical testing. Data Acquisition & Analysis: Strong ability to use measurement equipment and analyze large datasets to draw conclusions and identify failure modes. Power Electronics Knowledge: Knowledge of the product being tested (power converters, inverters, on-board chargers, etc.). Troubleshooting & Root Cause Analysis: Excellent problem-solving skills to drive root cause analysis and issue resolution. Familiarity with automotive industry validation standards. Experience using instrumentation (thermocouples, RTDs, strain gauges, accelerometers, pressure gauges, flow meters) Working knowledge of automotive communication protocols (CAN, LIN) Experience with collaboration tools like JIRA, Confluence, & Requirements Management tools. Cross-Functional Communication: Ability to clearly communicate technical findings to diverse teams (hardware, software, manufacturing, and management). Ability to adapt to change in a fast-paced development environment. Ability to travel as needed. 1. Planning & Development (Test Strategy): This involves the initial planning stages, ensuring the validation process aligns with the product's design and requirements. Requirements Interpretation: Working with software and hardware teams to comprehend product requirements and develop test cases. This requires a strong understanding of power electronics design and system-level performance. Test Equipment Definition: Collaborating with the Test Equipment design group to define the Special Test Equipment (STE) capabilities needed for validation. Procedure Creation: Developing detailed test procedures that define specific test setup requirements and instructions. 2. Test Execution & Setup: This covers the hands-on aspects of setting up, leading, and executing the physical testing. Fixture Design: Designing test fixtures specifically required for rigorous vibration and environmental testing. Lab Leadership: Providing direction to lab technicians (both in-house and at 3rd party labs) on setting up and executing validation tests. Specialized Surveys: Leading crucial validation efforts, such as hardware thermal and vibration surveys. 3. Reporting, Analysis, and Documentation: A significant portion of the role involves analyzing results, reporting status, and driving the resolution of problems found during testing. Data Analysis: Creating summary reports and providing data analytics on the data collected during testing. Issue Management: Documenting validation test failures in the problem resolution database and supporting technical root cause analysis and issue resolution Status Reporting: Regularly reporting out the Validation status to the product development and vehicle teams. 4. Cross-Functional and Supplier Management: The engineer acts as a critical link between design, quality, and external partners. Design Participation: Actively participating in design reviews, requirement reviews, and DFMEAs (Design Failure Mode and Effects Analysis) to influence design for reliability and testability. Supplier Oversight: Managing supplier-sourced sub-component validation efforts and ensuring all reported defects are addressed and closed.

HIRING 2nd Shift Electronics: Cell Phones and other Devices Monday through Thursday **OFF Fridays WILL Train Daily: Sit and Stand JOBS Must be Flexible for Both Other JOBS: Some Local Delivery Driver Duties: needs Clean MVR Overtime: Can Volunteer 1, 2 or 3 Saturdays for more hours BUYS LUNCH Tuesdays and Thursdays 90 Days: Company Pays 100% Blue Cross Blue Shield *APPLY: Send Resume