Job Description

At General Motors, our product teams are redefining mobility. Through a human-centered design process, we create vehicles and experiences that are designed not just to be seen, but to be felt. We’re turning today’s impossible into tomorrow’s standard —from breakthrough hardware and battery systems to intuitive design, intelligent software, and next-generation safety and entertainment features.   

Every day, our products move millions of people as we aim to make driving safer, smarter, and more connected, shaping the future of transportation on a global scale.

The Data Scaling team owns the Data Flywheel for AV Foundation model development and successive fine tuning. It defines the composition of the data that is needed for the AV to learn behaviors at scale and deliver the driving behaviors necessary for the product success. The team owns the definition and processes for data quality across the data loop.   

The team directly works on and delivers ML models to the product that successively go up the Data Scaling curves, thereby directly impacting AV product performance through smart use of data. As part of this work, the team builds scalable systems and pipelines that attempt to 10x the data used, its diversity and impact on the models with successive major releases. The team uses existing very large datasets that GM has access to internally as well as defines the next generation of highest value datasets that GM continues to collect – both from real driving by GM and retail fleets, but also synthetic sim-based datasets.  

Why Join Us?

• Scale up AV foundation model pre-training and fine-tuning with data to its maximum capacity – into billions+ of examples - across different sources, delivering the maximum value to the model through every additional example.
• Work with cutting-edge technology and a collaborative, high-impact team of AI/ML engineers, data scientists and engineers who are passionate about leveraging advanced AI techniques to drive innovation for L2, L3 and L4 applications.
• Contribute to the safety, reliability, and scalability of next-generation autonomous vehicles.

As a Principal Technical Lead in the Embodied AI Data Foundations organization, you will be a senior individual contributor driving cutting-edge end-to-end machine learning solutions maximally leveraging multiple sources of data including real and synthetic datasets, directly impacting autonomous driving performance. Towards this goal, you will lead the development of novel curation algorithms, pre-training, post-training and fine-tuning recipes for training AV models.

Your role is pivotal in designing, architecting, and deploying data curation and training pipelines while simultaneously delivering advanced ML models that continue to go up scaling curves. These models will reliably and safely navigate diverse real-world scenarios and conditions. You'll lead critical technical initiatives, collaborate closely with cross-functional teams, mentor ML engineers, and significantly shape the future of onboard and offboard ML capabilities.

What You'll Do:

• Design and implement technologies that align our models to GM’s mission.

• Apply techniques such as unsupervised pre-training, imitation learning, reinforcement learning, guidance, and selection to raise the performance of our models and provide a layer safety and reliability.

• Collaborate with cross-functional teams to integrate & align distillation recipes of foundation models for onboard driving models.

• Conduct research and stay updated on the latest advancements in AI frameworks and libraries.

• Lead projects from ideation to deployment, documenting learnings and best practices along the way.

• Mentor junior team members and contribute to a culture of knowledge sharing and continuous improvement.

Your Skills & Abilities:

• Bachelor’s, Master’s or PhD degree in Computer Science with a focus in Robotics and or Machine Learning, or a related field.

• Proven experience working with large-scale Foundation Models and alignment methods to translate research into real-world impact.

• Proven experience delivering applied research in the wild and maintaining best practices while working on tight deadlines.

• Proficiency in frameworks such as PyTorch and languages such as Python.

• Proven experience in building and scaling large model training pipelines that are performant and enable quick iteration by distributed teams.

• Strong data processing skills using tools like Numpy, Pandas, and Apache Spark.

• Excellent communication skills to effectively collaborate with diverse teams and stakeholders.

• Experience deploying foundation models into production environments and understanding the end-to-end process.

• Previous experience in Robotics or Autonomous Driving.

Remote/Hybrid: This role is categorized as fully remote or hybrid.

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.

Relocation: This job may be eligible for relocation benefits.

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GM-AV-1

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, emailus or call us at 1-800-865-7580. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.

Job Description

At General Motors, our product teams are redefining mobility. Through a human-centered design process, we create vehicles and experiences that are designed not just to be seen, but to be felt. We’re turning today’s impossible into tomorrow’s standard —from breakthrough hardware and battery systems to intuitive design, intelligent software, and next-generation safety and entertainment features.  

Every day, our products move millions of people as we aim to make driving safer, smarter, and more connected, shaping the future of transportation on a global scale.

Role

As a Senior Machine Learning Engineer for Perception within the Embodied AI organization, you will own the end-to-end pipeline for safety-critical ML perception models, from initial research and large-scale data curation to optimization and real-time deployment on the vehicle's compute platform. Your primary mission is to enable the vehicle to accurately and reliably see, classify, and track everything in its environment—from rare road markings and complex intersections to vulnerable road users (VRUs).

Responsibilities ​

• End-to-End Model Lifecycle: Own the design, training, validation, and deployment of deep learning models for core perception tasks such as:
• 3D Object Detection and Tracking (vehicles, pedestrians, cyclists).
• Real-time map detection of the drivable world (lanes, road boundaries, traffic signs).
• Multi-Modal Sensor Fusion (Camera, LiDAR, Radar).
• Production Pipeline: Build and scale the ML training infrastructure, including data mining and loading, multi-stage training and evaluation, to streamline model development.
• Performance Optimization: Improve model performance through data iterations, parameter tunings, training strategy and architecture updates to produce reliable models that meet and the strict real-time, low-latency requirements on the vehicle's embedded hardware.
• Model Debugging: Conduct rigorous, data-driven analysis to identify, debug, and resolve performance degradations and failures, specifically targeting long-tail and adversarial scenarios (e.g., adverse weather, sensor noise, occlusions).
• Metric Definition: Define and implement robust model-level metrics to aid model development.
• System Integration: Work closely with the Safety, Systems, and other engineering functions to integrate Perception outputs.

Skills & Experience ​

• BS, MS or PhD in Computer Science, Machine Learning, Robotics, or a related quantitative field.
• 5+ years of professional experience with a focus on Computer Vision, Deep Learning, and Perception in a production environment.
• Deep hands-on experience with modern deep learning frameworks (e.g., PyTorch or TensorFlow) for training, experimentation, and debugging complex DNNs.
• Proven experience working with and fusing data from multiple sensor modalities (Camera, LiDAR, and/or Radar).
• Practical experience deploying and optimizing ML models for resource-constrained, real-time embedded systems.
• Demonstrated ability to drive model improvements through large-scale data analysis, error logging, and data curation.

Bonus:

• Expertise with Transformer-based models for 3D detection, tracking, and scene understanding.
• Technical leadership experience, including mentoring junior engineers and leading major feature development from concept to launch.
• Contributions to relevant academic publications (CVPR, ECCV, ICCV, IROS, NeurIPS etc.).

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 per week, at minimum. 

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 $170,600.00 to $261,300.00. 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.

This job may be eligible for relocation benefits.

GM-AV-1

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, emailus or call us at 1-800-865-7580. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.

Job Description

Job Description Summary

General Motors is at the forefront of the transformation of automotive with the electrification of our portfolio and the development of leading-edge central compute and autonomous capabilities. Our ECU Electrical team is a dynamic, high-energy, and innovative group focused on developing electrical design of next generation ECUs (Electronic Control Units).

The team also reviews and approves production ECU design changes.

We are seeking a high-performing PCB Layout Hardware Design Engineer interested in leading the in-house development of GM electronics design. You will be responsible for the electrical design, development, and review of Electrical Controllers, for our next generation SDV (Software Defined Vehicle) architecture. You will be depended upon to build strong partnerships with internal and external customers.

Job Description:

This role is categorized as hybrid. This means the successful candidate is expected to report to Warren, MI location three times (Tues., Wed., Thurs.) per week, at minimum [or other frequency dictated by the business].

The Role:

In-vehicle electronics is a fast-growing technology in the global automotive industry featuring many cutting-edge technologies such as Compute, body controllers, multi-view cameras, Gig+Ethernet, PCIe, digital/analog interfaces and more. We are looking for creative and enthusiastic candidates to become part of a fast-moving team who want to lead the future direction of the automotive industry.

The ECU hardware design team’s mission is to ensure our products are designed to target the growing needs of our customers while ensuring robust, well-designed hardware which meets GM specifications and testing requirements from early hardware through the production design. In this role you will be responsible for leading product development and integration activities.

Responsibilities for the Hardware Design Engineer - PCB layout include utilizing engineering tools and processes to successfully develop components and systems for vehicle programs. You'll effectively achieve program milestones by thorough and effective program management. You will coach and lead suppliers to timely execution of program work with excellence.

Responsibilities:

• Responsible for creating and designing the physical layout of integrated circuits (ICs) or printed circuit boards (PCBs). This involves placing and routing components, traces, and other elements to ensure proper functionality and performance.
• Create / lead / verify the layout design by conducting design rule checks (DRC) and design for manufacturability (DFM) checks. This ensures that the design meets the required specifications, constraints, and manufacturing capabilities.
• Create / collaborate closely with other design teams, such as circuit designers, system engineers, and packaging engineers, to understand design requirements and constraints. They work together to optimize the layout design for performance, power, area, and manufacturability.
• Select the appropriate technology and process for the layout design based on the project requirements, such as the target application, performance goals, and manufacturing capabilities.
• Optimize the layout design for various factors by working with SI/PI/EMC/Thermal/Mechanical subject matter experts. They ensure that the layout design meets the required performance and reliability criteria.
• Support ECAD librarians by ensuring development of ECAD library parts meet PCBA Design for Manufacturing (DFM) & GM resiliency requirements.
• Collaborate with component engineers, procurement, and supply chain teams to select appropriate components for PCBA design.
• Apply Design for Assembly (DFA) principles to ensure PCBA design is optimized for efficient assembly processes.
• Identify opportunities for process improvements, cost reduction, and quality enhancement in PCBA manufacturing.

Qualifications:

• Bachelor of Science in Engineering Required
• Professional experience creating digital/analog HW interfaces including schematic creation and/or PCB layout, simulation & supportive documentation
• Up to 7 years working experience in PCB layout design
• Experience in design & analysis tools like Mentor Graphics (schematic & layout)

Preferred Qualifications:

• Previous industry experience with infotainment, telematics or connectivity
• 5 years or more experience in PCB layout design
• Knowledgeable in High speed Communication Buses (Ethernet, PCIe, SerDes…)

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General Company Expectations

At this level you are expected to operate with a high level of independent discernment and are typically responsible for implementing functional strategy, administering and coordinating programs, counseling and advising management.

As a fully-qualified individual contributor who has thorough knowledge and understanding of all aspects of the function, you will provide expert judgment and analysis for the design, development and implementation of technical products and systems.

Resolve highly complex technical issues and conducts advanced research.

Recommend alterations to development and design to improve quality of products and/or procedures.

Skilled and proficient with a variety of the field's concepts, practices, and procedures.

Rely mostly on extensive personal experience and discernment to plan and accomplish goals.

You will perform multiple tasks. Lead and likely direct the work of others. A wide degree of creativity and latitude is expected.

Why Join Us

At GM, you’ll be at the forefront of shaping the future of connected, electric, and autonomous vehicles. You’ll work on cutting-edge antenna systems alongside some of the brightest minds in automotive and RF technology — with the resources to make an impact at scale. We offer competitive compensation, growth opportunities, and a culture that values innovation, inclusion, and forward thinking. This is a unique opportunity to lead, innovate, and help millions of customers around the world stay connected on the move.

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.

Diversity Information

General Motors is committed to being a workplace that is not only free of discrimination, but one that genuinely fosters inclusion and belonging. We strongly believe that workforce diversity creates an environment in which our employees can thrive and develop better products for our customers.   We understand and embrace the variety through which people gain experiences whether through professional, personal, educational, or volunteer opportunities. 

We encourage interested candidates to review the key responsibilities and qualifications and apply for any positions that match your skills and capabilities

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, emailus or call us at 1-800-865-7580. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.

Job Description

At General Motors, our product teams are redefining mobility. Through a human-centered design process, we create vehicles and experiences that are designed not just to be seen, but to be felt. We’re turning today’s impossible into tomorrow’s standard —from breakthrough hardware and battery systems to intuitive design, intelligent software, and next-generation safety and entertainment features.  

Every day, our products move millions of people as we aim to make driving safer, smarter, and more connected, shaping the future of transportation on a global scale.

As a State Estimation Engineer within the SEAM Embodied AI organization, you will be an individual contributor driving cutting-edge localization and sensor calibration solutions that directly impact autonomous driving performance. Your role is pivotal in designing, architecting, and deploying advanced systems for purposes including pinpointing the vehicle’s location in the world, and calibrating parameters of all sensors to ensure they optimally support many other vehicle subsystems. You'll participate in critical technical initiatives, collaborate closely with cross-functional teams, work with senior engineers across the organization, and significantly shape the future of onboard autonomous driving capabilities. 

What You'll Do

• Drive the design, development, and deployment of advanced solutions for state estimation, localization, sensor calibration and more.
• Lead and architect critical infrastructure for validating localization and sensor calibration systems, and for continuously monitoring localization performance on deployed vehicles,
• Help to ensure high software quality, through build-out of continuous integration components such as regression test suites and simulation scenarios.
• Ownership of vital tools used by our teams for prototyping new solutions, debugging issues observed on real vehicles, and accelerating development of test infrastructure.
• Collaborate closely with multidisciplinary engineering groups, ensuring seamless integration of localization, sensor alignment, and other capabilities into autonomous vehicle systems.
• Influence technical roadmaps, shaping strategic priorities aligned with company objectives and product milestones.

Your Skills & Abilities

• Master's or B.S. in Robotics, Computer Science, Electrical Engineering, or a related technical field.
• 3+ years of experience developing and deploying software for real-time applications and/or cloud infrastructure.
• 1+ years of background in state estimation and/or sensor calibration.
• Strong software engineering proficiency, particularly in C++ and Python, alongside extensive hands-on experience with development, integration, and testing tools.
• Excellent communication and collaboration abilities, comfortable influencing technical strategy and guiding engineering excellence across the organization.

Bonus

AV/ADAS experience is a big plus

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 per week, at minimum.

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 $138,200.00 to $211,700.00. 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.

This job may be eligible for relocation benefits.

GM-AV-1

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, emailus or call us at 1-800-865-7580. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.

Job Description

Sr Staff AV Behavior Safety Engineer

The Safety Assurance for Effective Autonomous Driving Software (SAFE‑ADS) department is part of GM’s Global Product Safety, System, and Certification (GPSSC) organization. Our mission is to help GM deliver trusted automated‑driving products.  As the central authority for automated driving system (ADS) safety, SAFE‑ADS brings together experts from across the company to develop and maintain a comprehensive safety case including safety performance indicators for GM’s automated‑driving technologies.

GM’s vision is zero crashes, zero emissions, and zero congestion—and autonomous vehicle safety is essential to achieving that vision.

As a Sr Staff AV Behavior Safety Engineer, you will lead the strategy and support execution for how GM defines, measures, and validates the safety of SAE Level 3 – 4 Automated Driving Systems powered by machine‑learned models. You will report into the AV Behavior Safety organization and directly influence launch decisions for GM’s next generation of automated driving products.

If you are passionate about safety, have deep experience in autonomous vehicle development and validation, and are a proven technical leader in AI/ML‑driven systems, this role is an opportunity to shape how millions of people experience safe automated driving.

The Role

The AV Behavior Safety Engineering team is seeking a hands‑on engineer with extensive experience in the end‑to‑end development lifecycle of autonomous vehicle behaviors, from ODD and behavior definition through simulation, closed‑course, and public‑road validation.

You will:

• Reference and interpret standards such as ISO 21448 (SOTIF), ISO 5083, and AVSC best practices to define GM’s strategy for safe autonomous system development, validation and deployment

• Own the behavior‑focused portion of the ADS Safety Case, including key claims, sufficiency criteria, and recommended evidence for AV behavior safety performance.

• Collaborate with Software Validation, Embodied AI, Simulation, and Safety Metrics teams to define the end‑to‑end AV behavior validation methodology for AI‑driven systems.

• Set the strategy for how we systematically break down ODDs and how performance is validated per behavior and in aggregate.

• Collaborate on evaluation metrics, human benchmarks, and safety launch targets for AV behaviors and overall system performance.  This includes supporting development of safety performance indicators (SPIs) for AV behaviors.

• Assess AV performance across safety and reliability dimensions using simulation, closed‑course, and public‑road data and provide clear, prioritized feedback to engineering teams

• Define and run an assurance process to verify the sufficiency criteria and safety targets to support launch readiness

Why This Role Is Unique

• Impact at Scale: Your work will directly influence how GM brings safe automated driving systems to millions of customers.

• End‑to‑End Ownership: You will own the strategy, framework, and evidence assessment for AV behavior safety.

• Cross‑Functional Reach: You will collaborate across AI, software, validation, simulation, metrics operations and vehicle program teams, shaping the direction of GM’s automated driving roadmap.

If you’re excited to lead in autonomous driving safety, we’d love to hear from you.

Your Skills & Abilities (Required Qualifications)

• Bachelor's degree in Computer Science, Engineering, Mathematics, or a related field

• 6+ years of experience in machine learning, engineering, data science, or a related field

• 6+ years in autonomous vehicle or robotics development or related field

• Demonstrated experience working on production‑intent AV programs

• Track record providing technical safety leadership in AV development (e.g., defining safety strategies, risk assessments, validation methodologies, safety case contributions).

• Deep understanding of AV behavior development: defining ODDs, behaviors, and evaluation criteria; analyzing simulation, closed‑course, and public‑road test data; and generating prioritized, actionable recommendations for developers.

• Experience applying AV safety standards and best practices, such as ISO 5083, ISO 21448 (SOTIF), and AVSC practices

• Excellent communication and storytelling skills, including the ability to explain complex technical tradeoffs to executives and non‑technical stakeholders.

• Proven ability to influence cross‑functional teams (Software, AI/ML, Systems Engineering, Product, Program Management, Operations) without direct authority.

• Strong problem‑solving mindset, comfort with ambiguity, and a proactive attitude toward learning and continuous improvement.

What Will Give You A Competitive Edge (Preferred qualifications)

• Masters Degree in Computer Science, Engineering, Mathematics or related field

• Programming & Frameworks: Python, R, Java,  PySpark, PyTorch, TensorFlow, Scikit-learn, LangChain, SQL

• Machine Learning & AI: Large Language Models (LLMs), Generative AI, RAG, Deep learning, Reinforcement Learning, Natural Language Processing (NLP), SVM, XGBoost, Random Forest, Decision Trees, Clustering

• Cloud & Big Data Platforms: (PreferredMicrosoft Azure (Data Lake, Machine Learning, Databricks)), Nice to Have (AWS (S3, SageMaker, Bedrock) or Google Cloud Platform (BigQuery, Dataflow, AI Platform) )

• Deployment & MLOps: MLflow, Model Monitoring & Versioning, Docker & Kubernetes, GitHub, Jira

• Data Analysis & Visualization: Tableau, PowerBI, Pandas, NumPy

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 actual base salary a successful candidate will be offered within this range will vary based on factors relevant to the position, as well as geography of the selected candidate.
       • The salary range for this role is $185,100 and $284,100. 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.

Company vehicle: Upon successful completion of a motor vehicle report review, you will be eligible to participate in a company vehicle evaluation program, though 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.

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This role is categorized as remote. This means the selected candidate may be based anywhere in the country of work and is not expected to report to a GM worksite unless directed by their manager.
The selected candidate will be required to travel <25% for this role.
This position requires the ability to legally operate a motor vehicle on a regular basis and successfully complete a Motor Vehicle Report review.

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, emailus or call us at 1-800-865-7580. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.

Job Description

The Safety Assurance for Effective Autonomous Driving Software (SAFE‑ADS) department is part of GM’s Global Product Safety, System, and Certification (GPSSC) organization. Our mission is to help GM deliver trusted automated‑driving products.  As the central authority for automated driving system (ADS) safety, SAFE‑ADS brings together experts from across the company to develop and maintain a comprehensive safety case including safety performance indicators for GM’s automated‑driving technologies.

GM’s vision is zero crashes, zero emissions, and zero congestion—and autonomous vehicle safety is essential to achieving that vision.

As Sr Manager, AV Behavior Safety Engineering, you will lead the strategy and support execution for how GM defines, measures, and validates the safety of SAE Level 3 – 4 Automated Driving Systems powered by machine‑learned models. You will report into the AV Safety Strategy and Assurance organization and directly influence launch decisions for GM’s next generation of automated driving products.

If you are passionate about safety, have deep experience in autonomous vehicle development and validation, and are a proven technical leader in AI/ML‑driven systems, this role is an opportunity to shape how millions of people experience safe automated driving.

The Role

The AV Safety Strategy and Assurance team is seeking a hands‑on technical senior manager with extensive experience in the end‑to‑end development lifecycle of autonomous vehicle behaviors, from ODD and behavior definition through simulation, closed‑course, and public‑road validation.

You will:

Lead Technically

• Reference and interpret standards such as ISO 21448 (SOTIF), ISO 5083, and AVSC best practices to define GM’s strategy for safe autonomous system development, validation and deployment
• Own the behavior‑focused portion of the ADS Safety Case, including key claims, sufficiency criteria, and recommended evidence for AV behavior safety performance.

• Collaborate with Software Validation, Embodied AI, Simulation, and Safety Metrics teams to define the end‑to‑end AV behavior validation methodology for AI‑driven systems.

• Set the strategy for how we systematically break down ODDs and how performance is validated per behavior and in aggregate.

• Collaborate on evaluation metrics, human benchmarks, and safety launch targets for AV behaviors and overall system performance.  This includes supporting development of safety performance indicators (SPIs) for AV behaviors.

• Assess AV performance across safety and reliability dimensions using simulation, closed‑course, and public‑road data and provide clear, prioritized feedback to engineering teams
• Define and run an assurance process to verify the sufficiency criteria and safety targets to support launch readiness

Lead People

• Hire, lead, and develop a high‑performing AV behavior safety engineering team.
• Set clear goals and expectations, provide coaching and mentorship, and grow the team’s technical depth in AV behavior safety, validation, and safety case development.

Why This Role Is Unique

• Impact at Scale: Your work will directly influence how GM brings safe automated driving systems to millions of customers.
• End‑to‑End Ownership: You will own the strategy, framework, and evidence assessment for AV behavior safety.
• Cross‑Functional Reach: You will collaborate across AI, software, validation, simulation, metrics operations and vehicle program teams, shaping the direction of GM’s automated driving roadmap.

Your Skills & Abilities (Required Qualifications)

• Bachelor's degree in Computer Science, Engineering, Mathematics, or a related field
• 8+ years of experience in machine learning, engineering, data science, or a related field
• 8+ years in autonomous vehicle or robotics development or related field
• Demonstrated experience working on production‑intent AV programs
• Track record providing technical safety leadership in AV development (e.g., defining safety strategies, risk assessments, validation methodologies, safety case contributions).
• Deep understanding of AV behavior development: defining ODDs, behaviors, and evaluation criteria; analyzing simulation, closed‑course, and public‑road test data; and generating prioritized, actionable recommendations for developers.
• Experience applying AV safety standards and best practices, such as ISO 5083, ISO 21448 (SOTIF), and AVSC practices
• Excellent communication and storytelling skills, including the ability to explain complex technical tradeoffs to executives and non‑technical stakeholders.
• Proven ability to influence cross‑functional teams (Software, AI/ML, Systems Engineering, Product, Program Management, Operations) without direct authority.
• Strong problem‑solving mindset, comfort with ambiguity, and a proactive attitude toward learning and continuous improvement.
• 3+ years of people leadership experience, including hiring, leading, and growing high‑performing technical teams.

What Will Give You A Competitive Edge (Preferred qualifications)

• Masters Degree in Computer Science, Engineering, Mathematics or related field
• Programming & Frameworks: Python, R, Java,  PySpark, PyTorch, TensorFlow, Scikit-learn, LangChain, SQL
• Machine Learning & AI: Large Language Models (LLMs), Generative AI, RAG, Deep learning, Reinforcement Learning, Natural Language Processing (NLP), SVM, XGBoost, Random Forest, Decision Trees, Clustering
• Cloud & Big Data Platforms: (Preferred Microsoft Azure (Data Lake, Machine Learning, Databricks)), Nice to Have (AWS (S3, SageMaker, Bedrock) or Google Cloud Platform (BigQuery, Dataflow, AI Platform) )
• Deployment & MLOps: MLflow, Model Monitoring & Versioning, Docker & Kubernetes, GitHub, Jira
• Data Analysis & Visualization: Tableau, PowerBI, Pandas, NumPy

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 actual base salary a successful candidate will be offered within this range will vary based on factors relevant to the position, as well as geography of the selected candidate.
       • The salary range for this role is $250,600 and $384,600. 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.

Company vehicle: Upon successful completion of a motor vehicle report review, you will be eligible to participate in a company vehicle evaluation program, though 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.

LI-KE2

This role is categorized as remote. This means the selected candidate may be based anywhere in the country of work and is not expected to report to a GM worksite unless directed by their manager.
The selected candidate will be required to travel <25% for this role.
The position is subject to export control restrictions and requires the successful candidate to be a U.S. Person (U.S. citizen, U.S. permanent resident, asylee or refugee).

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, emailus or call us at 1-800-865-7580. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.

Job Description

Principal AI Safety Engineer for Autonomous Vehicles: Technical Lead

The Safety Assurance for Effective Autonomous Driving Software (SAFE‑ADS) department is part of GM’s Global Product Safety, System, and Certification (GPSSC) organization. Our mission is to help GM deliver trustworthy automated‑driving products.  As the central authority for automated driving system (ADS) safety, SAFE‑ADS brings together experts from across the company to develop and maintain a comprehensive safety case including safety performance indicators for GM’s automated‑driving technologies.

GM’s vision is zero crashes, zero emissions, and zero congestion—and autonomous vehicle safety is essential to achieving that vision.

The Role

The AV Safety Strategy and Assessment team is seeking an AI Safety Technical Leader with deep experience across the full end‑to‑end development lifecycle of automated driving system (ADS) technology driven by artificial intelligence and machine learning models. As the AI Safety Principal Engineer, you will stay current on industry best practices and standards while guiding the development of GM’s AI safety strategy for autonomous vehicles (AV). This role requires significant experience driving the technology development and validation of AI models for safety‑critical applications. The ideal candidate will bring strong AI domain expertise across safety engineering, data lifecycle management, model development, verification and validation, frameworks and tools, and operational assurance.

If you're passionate about autonomous vehicle technology, committed to advancing safety through innovation, and are a proven technical leader, this role offers an exciting opportunity to make a meaningful impact on the future of transportation safety in a dynamic and fun environment.

As the AI Safety Principal Engineer for AV, you will work closely with cross‑functional partners and customers to define safety strategies and sufficiency criteria for AI/ML‑based ADS features. You will engage deeply with stakeholders to understand their challenges and needs, collaborate on new AI/ML solutions, and evaluate the safety of models and cloud environments to support safety-critical applications. In this role, you will also provide safety guidance to a team of AI/ML developers and system engineers. Leveraging your experience with industry standards such as ISO/PAS 8800, you will champion GM’s AI safety case framework and help ensure the safe deployment of AI‑enabled ADS technologies.

What You’ll Do (Responsibilities)

• Lead the development of AI safety strategies for ADS and establish safety engineering guidance and sufficiency criteria.

• Actively engage with partners and seek input, provide technical expertise to inform leadership decision-making, and take ownership of technical projects

• Define GM’s strategy for AI safety standards, engage externally to influence evolving standards, and contribute to internal and external thought leadership that strengthens GM’s position in the autonomous vehicle ecosystem.

• Support regulatory rulemaking and policy responses related to AI safety‑critical systems.

• Establish an assurance plan and process to evaluate AI‑related safety case evidence and verify that sufficiency criteria are met.

• Provide AI expertise and safety guidance across Global Product Safety, Systems, and Certification activities.

• Identify and drive opportunities to improve the efficiency and quality of safety work through the application of AI methodologies.

• Mentor and develop team members, fostering a culture of technical excellence and continuous learning.

Your Skills & Abilities (Required Qualifications)

• Bachelor’s degree in Computer Science, Electrical Engineering, Mathematics, Physics, or a related field; or equivalent practical experience

• 10+ years of experience in AI/ML, engineering or a related field

• 5+ years in autonomous vehicles, robotics or related field

• Experience in the following:

• Machine Learning & AI:  Extensive experience in building large-scale models with significant focus on E2E validation. Experience using Large Language Models (LLMs), Generative AI, RAG, Deep learning, Reinforcement Learning, Natural Language Processing (NLP), SVM, XGBoost, Random Forest, Decision Trees, Clustering

• AI Standards and Evolving Regulations: Understanding of ISO/PAS 8800, NIST AI Risk Management Framework, EU AI Act (2024-2027), other applicable industry standards and best practices for autonomous vehicles, aerospace and/or robotics.

• Programming & Frameworks: Python, R, Java, PySpark, PyTorch, TensorFlow, Scikit-learn, LangChain, SQL

• Cloud & Big Data Platforms: (PreferredMicrosoft Azure - Data Lake, Machine Learning, Databricks), Nice to Have(AWS - S3, SageMaker, Bedrock) or Google Cloud Platform (BigQuery, Dataflow, AI Platform)

• Deployment & MLOps: MLflow, Model Monitoring & Versioning, Docker & Kubernetes, GitHub, Jira

• Data Analysis & Visualization: Tableau, PowerBI, Pandas, NumPy

• Proven track record providing technical safety and validation leadership in AI/ML development and deployment

• Excellent communication and collaboration skills, with the ability to work effectively in a team environment

• Strong problem-solving mindset and a proactive attitude towards learning and self-improvement

What Will Give You A Competitive Edge (Preferred qualifications)

• Master’s or Ph.D. in Computer Science, Electrical Engineering, Mathematics, Physics, or a related field; or equivalent practical experience

• Relevant publication

• Expertise with Large Language Models solutions from business problem statement to cloud deployment that have provided significant incremental business value

• Experience with generative AI solutions that you have developed and deployed into a production environment that have provided significant incremental business value

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 actual base salary a successful candidate will be offered within this range will vary based on factors relevant to the position, as well as geography of the selected candidate.
       • The salary range for this role is $250,600 and $384,600. 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.

Company vehicle: Upon successful completion of a motor vehicle report review, you will be eligible to participate in a company vehicle evaluation program, though 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.

LI-KE2

This role is categorized as remote. This means the selected candidate may be based anywhere in the country of work and is not expected to report to a GM worksite unless directed by their manager.
The selected candidate will be required to travel <25% for this role.
This job may be eligible for relocation benefits.
The position is subject to export control restrictions and requires the successful candidate to be a U.S. Person (U.S. citizen, U.S. permanent resident, asylee or refugee).

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, emailus or call us at 1-800-865-7580. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.

Job Description

The Role

We are seeking a Senior Data Engineer to join our Motorsports Data Engineering team, building next-generation data platforms that power high-performance racing programs across Formula 1, NASCAR, IndyCar, IMSA, and beyond.

This role is responsible for designing, building, and operating scalable, real-time and batch data pipelines that ingest high-frequency telemetry, simulation, wind tunnel, and trackside data into our enterprise data platform. You will work at the intersection of cloud architecture, streaming systems, and performance analytics — enabling engineers, strategists, and race teams to make faster, data-driven decisions.

As a senior member of the team, you will own critical components of our Kafka/Flink streaming architecture, Databricks lakehouse implementations, and infrastructure-as-code deployments. You will collaborate cross-functionally with race engineering, software development, operations, and external technical partners to ensure resilient, secure, and high-performance data delivery across environments.

This is a hands-on engineering role requiring deep technical expertise, architectural thinking, and a strong sense of ownership.

What You’ll Do

• Develop data pipelines using Python, Java, and SQL among other tools and technologies.
• Update existing software and/or develop new software solutions to address a specific need or solve a particular business problem.
• Contribute to development in accordance with appropriate methodologies and application of a repeatable, systematic, and quantifiable approach.
• Identify and remediate software issues related to code quality, security, patterns, frameworks, software usability, or end user related issues.
• Develop your skills by working closely with peers to ensure code alignment with design patterns and frameworks.
• Integrate with other applications and systems.
• Automate unit and end-to-end testing of software systems within their domain, focused on software quality and maintainability.
• Provide guidance and mentoring of fellow software developers.
• Performance tuning, usability assessment, performance improvement, documentation, and ensuring high technical standards are met.
• Proficiency in build/release automation solutions.

Your Skills & Abilities (Required Qualifications)

• Minimum 5 years of professional software development experience.
• Proficient in Python and or Java.
• Experience with event streaming/message broker technologies like Kafka, Event Hubs, or Confluent.
• Experience with AWS and/or Azure cloud infrastructure.
• Experience deploying, maintaining, supporting containerized applications using technologies like Docker/Kubernetes.
• Experience with SQL and NoSQL database technologies like Postgres, Mongo DB and Redis.
• Experience writing maintainable, testable, and reusable code.
• Experience with Agile development methodologies.
• Strong background in software development lifecycle.
• Experience with networking and client-server communication (REST, web sockets, gRPC, server-sent events).
• Delivering highly scalable, web-based systems, that can support high transaction volumes.

What Will Give You a Competitive Edge (Preferred Qualifications)

• Bachelor's degree in computer science or similar discipline.
• Self-starter and quick learner who understands and can adapt to existing software applications.
• Previous IT experience within motorsports.
• Experience working with streaming telemetry or timing-based metrics.

GM does not provide immigration-related sponsorship for this role. Do not apply for this role if you will need GM immigration sponsorship now or in the future. This includes direct company sponsorship, entry of GM as the immigration employer of record on a government form, and any work authorization requiring a written submission or other immigration support from the company (e.g., H1-B, OPT, STEM OPT, CPT, TN, J-1, etc).
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}.
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, emailus or call us at 1-800-865-7580. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.

Job Description

The Role

We are hiring a Senior Site Reliability Engineer (SRE) to join the GM Motorsports Software Engineering Data Platform team. This team builds and operates the next-generation data infrastructure that powers analytics, simulation, and telemetry insights across GM’s racing programs including Formula 1, NASCAR, IndyCar, and IMSA.

As a foundational member of the reliability function within the Data Engineering organization, you will ensure the availability, performance, and resilience of high-throughput telemetry and analytics platforms that ingest, process, and deliver mission-critical motorsports data.

Our environment handles high-frequency streaming telemetry, simulation outputs, and engineering datasets that must be reliable, observable, and scalable. You will play a key role in designing systems where resilience, automation, and observability are built in from the start.

We are looking for engineers who are uncomfortable with manual toil and are driven to build platforms where scaling, recovery, and operational insight are inherent properties of the system architecture.

What You’ll Do

Platform Reliability

• Design and implement reliability practices across the motorsports data platform, including Service Level Indicators (SLIs), Service Level Objectives (SLOs), and error budgets for streaming and analytics workloads.

Streaming & Data Pipeline Resilience

• Ensure reliability and performance of high-throughput streaming and batch data pipelines supporting telemetry ingestion, analytics processing, and simulation workloads using technologies such as Kafka, Flink, and Databricks.

Observability & Incident Response

• Build and maintain comprehensive observability frameworks including metrics, logs, and tracing across the platform. Develop dashboards, alerts, and automated responses that detect system degradation before it impacts engineering workflows.

Infrastructure Automation

• Drive the automation of platform infrastructure using Infrastructure as Code (IaC) and platform engineering best practices to enable consistent, reproducible environments across development, testing, and production.

Operational Excellence

• Identify operational friction and eliminate manual processes by implementing self-healing infrastructure, automation frameworks, and developer self-service capabilities.

Data Platform Stability

• Own the reliability of data ingestion, transformation, and storage layers, ensuring stable and performant integration across distributed data systems.

Performance Optimization

• Continuously evaluate platform performance and scalability, ensuring the data platform can support high-frequency telemetry ingestion, real-time analytics, and large-scale historical analysis.

Mentorship & Technical Leadership

• Provide mentorship and peer review to engineers across the platform team, promoting strong operational discipline, resilient system design, and high-quality engineering practices.

Your Skills & Abilities (Required Qualifications)

• Proven experience in Site Reliability Engineering (SRE), DevOps, or Platform Engineering supporting large-scale distributed systems.
• Strong experience with Linux systems administration and cloud-native infrastructure.
• Experience operating high-throughput data platforms or streaming systems (Kafka, Flink, Spark, etc.).
• Hands-on experience with Infrastructure as Code tools such as Terraform or similar frameworks.
• Experience implementing observability stacks (Prometheus, Grafana, OpenTelemetry, Datadog, etc.).
• Strong debugging and troubleshooting skills across distributed systems.
• Ability to break down complex reliability challenges into clear, implementation-ready initiatives.
• A growth mindset and commitment to continuous learning in a fast-paced engineering environment.

What Will Give You a Competitive Edge (Preferred Qualifications)

• Experience supporting data engineering platforms or analytics infrastructure.
• Experience with Kubernetes and container orchestration platforms.
• Familiarity with stream processing frameworks (Apache Flink, Spark Streaming, etc.).
• Experience with real-time telemetry, simulation, or high-frequency data environments.
• Experience implementing reliability practices across multi-cloud or hybrid cloud platforms.

GM does not provide immigration-related sponsorship for this role. Do not apply for this role if you will need GM immigration sponsorship now or in the future. This includes direct company sponsorship, entry of GM as the immigration employer of record on a government form, and any work authorization requiring a written submission or other immigration support from the company (e.g., H1-B, OPT, STEM OPT, CPT, TN, J-1, etc).
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}.
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, emailus or call us at 1-800-865-7580. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.

Job Description

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.

Location:

Mt. View, California - Mountain View Technical Center

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 a Senior Machine Learning Engineer, you will lead the development of end-to-end AI/ML systems that solve high-stakes problems in robotics and manufacturing at scale. You will actively participate in the design, prototyping, and deployment of state-of-the-art AI models with direct application to vehicle design, manufacturing operations, robotics, and simulation of physical systems. Beyond technical execution, you will shape and implement GM’s AI research agenda, join a world-class team of scientists and engineers, and represent GM in the global AI community.

What You’ll Do:

• Design and implement novel machine learning architectures for complex industrial applications, including computer vision, robotic manipulation, predictive maintenance, and process optimization

• Develop end-to-end deep learning pipelines that handle multi-modal sensor data (vision, force/torque, proprioception, environmental sensors)

• Create foundation models and transfer learning frameworks that generalize across diverse industrial scenarios and equipment types

• Collaborate with cross functional teams including robotics engineers, SMEs and product teams to understand requirements and translate those to develop ML systems for production systems

• Develop data collection and annotation strategies to build high quality datasets for training and validating models in industrial settings

• Stay current with state-of-the-art methods in ML/AI and share knowledge through internal tech talks and presentations

Required Qualifications:

• PhD in relevant field or related discipline (STEM focused)

• Post PhD experience in AI/ML, demonstrating advanced AI/ML skill

• Expert level 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)

• Strong programming skills in Python and familiarity with one or more of systems languages (C++/Java)

• Demonstrated track record of publications in top AI/ML conferences or patents demonstrating novel contributions to the field

• Ability to decompose ambiguous problems into tractable research questions and follow rigorous experimental methodology including hypothesis formation, data collection, evaluation and statistical analysis

Preferred Qualifications:

• Experience with anomaly detection and predictive maintenance applications

• Experience with reinforcement learning for robotic control or process optimization

• Experience training large scale end-to-end multimodal deep learning models

• Demonstrated research impact in AI/ML technologies either through important publications in top- tier conferences or demonstrated contribution to industry leading systems.

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 $140,000- $195,000. 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.

GMAI-B

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, emailus or call us at 1-800-865-7580. 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.