AI/ML Engineer - Remote

About The Company

General Motors is a global leader in automotive manufacturing and innovation, committed to shaping the future of mobility. With a vision centered around Zero Crashes, Zero Emissions, and Zero Congestion, GM strives to create safer, more sustainable, and more connected transportation solutions. The company invests heavily in cutting-edge technology, including electric vehicles, autonomous driving systems, and embodied AI, to redefine how people move and interact with their environment. With a rich history of engineering excellence and a forward-looking approach, GM fosters a culture of innovation, inclusivity, and sustainability, aiming to lead the automotive industry into a new era of intelligent mobility.

About The Role

We are seeking a highly skilled and visionary Principal Technical Lead Manager (TLM) to oversee the Trajectory Generation team within our Embodied AI organization. This remote/hybrid role is based in Sunnyvale, California, with potential reporting requirements for candidates living within a 50-mile radius of key GM locations such as Austin, Detroit, Warren, Milford, or Mountain View. As a critical leader in autonomous driving technology, you will be responsible for defining and executing the technical vision for trajectory generation systems that enable safe, smooth, and human-like vehicle behaviors. Your leadership will influence the development of machine learning models and algorithms that translate sensor data into precise motion plans, supporting complex driving scenarios such as lane changes, obstacle avoidance, and interactions with other road users. You will lead a team of talented engineers, drive cross-functional initiatives, and ensure the seamless integration of these systems into real-world, safety-critical environments. This position offers an exciting opportunity to impact the future of autonomous vehicles and mobility solutions at a global scale.

Qualifications

• MS or PhD in Computer Science, Robotics, Machine Learning, or a related field
• Proven experience leading technical teams delivering production-grade machine learning systems
• Deep expertise in robotics planning and control, imitation learning, reinforcement learning, generative models, or large-scale ML systems
• Strong software engineering skills in Python, C++, or similar languages
• Experience deploying ML models into real-world or safety-critical environments
• Ability to define system architecture and lead large, cross-functional technical initiatives

Looking to advance your Machine Learning & AI career with relocation support? Explore Machine Learning & AI Jobs with Relocation Packages that include comprehensive packages to help you move and settle in your new role.

• Excellent mentoring and leadership skills, with a focus on developing technical talent
• Strong understanding of autonomous driving, robotics, or embodied AI systems (preferred)
• Background in trajectory planning, motion control, or behavior modeling (preferred)
• Experience with large-scale training infrastructure, distributed ML pipelines, and simulation-based training or evaluation (preferred)
  
  

Responsibilities

• Define and drive the technical vision and architecture for trajectory generation systems used in autonomous driving
• Lead the development of machine learning models capable of handling complex, dynamic driving environments
• Architect scalable training pipelines utilizing large datasets and simulation environments
• Guide the integration of trajectory generation models into real-time onboard systems with strict safety and latency requirements

Discover our full range of relocation jobs with comprehensive support packages to help you relocate and settle in your new location.

• Influence the design of next-generation embodied AI architectures for autonomous vehicles
• Mentor and develop senior engineers, fostering a culture of technical excellence and innovation
• Lead large, cross-team technical initiatives spanning the autonomous driving stack
• Collaborate closely with data, perception, simulation, safety validation, and onboard systems teams
• Define product roadmaps and prioritize initiatives aligned with safety and operational goals
• Drive the transition of research prototypes into scalable, production-ready systems
  
  

Benefits

• Comprehensive health, dental, and vision insurance plans
• Health Savings Account (HSA) and Flexible Spending Accounts (FSA)

Interested in relocating to United State? Check out our comprehensive Relocation Jobs in United State page with detailed relocation packages and benefits.

• Retirement savings plan with company contributions
• Sick leave, paid vacation, and holidays
• Tuition assistance and professional development programs
• Employee assistance programs supporting mental and physical well-being
• GM vehicle discounts and leasing options
• Potential relocation benefits for eligible candidates
• Participation in company vehicle evaluation programs (subject to eligibility)
  
  

Equal Opportunity

General Motors is an equal opportunity employer committed to fostering an inclusive environment where all employees and applicants are treated with respect and fairness. We do not discriminate based on race, color, religion, sex, national origin, citizenship status, age, disability, sexual orientation, gender identity, veteran status, or any other protected characteristic. We believe that diversity and inclusion drive innovation and excellence, and we welcome candidates from all backgrounds to join our team. All employment decisions are made based on qualifications and business needs, and we provide reasonable accommodations to qualified individuals with disabilities throughout the hiring process.