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
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
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)
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.