Principal AI/ML Engineer

General Motors; United States; Remote; USD 296,000 - 424,000; Full time

Job summary

General Motors seeks a Principal Technical Lead Manager to lead the Trajectory Generation team within Embodied AI. You will shape ML-driven trajectory planning, translating sensor inputs into safe, human-like driving behavior and directing a team of engineers from research to vehicle deployment.

You will mentor senior engineers, define architecture, and drive large-scale initiatives across teams working on data, perception, simulation, safety validation, and onboard systems.

Qualifications

• MS or PhD in Computer Science, Robotics, or a related field.
• Experience leading technical teams delivering production ML systems.
• Deep expertise in robotics planning and control, imitation or reinforcement learning, generative models, and large-scale ML systems.
• Strong software engineering skills (Python, C++, or similar).
• Experience deploying ML models in real-world or safety-critical environments.

Responsibilities

• Define and drive the technical vision and architecture for trajectory generation systems used in autonomous driving.
• Lead the development of ML-based trajectory generation models for dynamic driving environments.
• Architect scalable training pipelines using large-scale driving datasets and simulations.
• Guide the integration of trajectory generation models into real-time onboard systems with latency and safety requirements.

Skills

ML leadership

Robotics planning

Imitation learning

Reinforcement learning

Large-scale ML systems

Python

C++

Education

MS/PhD in CS/Robotics

Tools

TensorFlow/PyTorch

ROS

Job description

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’returningtoday’simpossibleinto 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 peopleas we aim to makedriving safer, smarter, and more connected, shaping the future of transportation on a global scale.

We are looking for aPrincipal Technical Lead Manager (TLM)to lead the Trajectory Generation team within the Embodied AI organization. This role combinesdeep technical leadership in machine learning and robotics withpeopleleadership and organizational impact.Trajectory generation is one of the most critical components of an autonomous driving system. Itis responsible forproducingthe precisevehicle motion plans that determine how the car moves through the world — lane changes, merges, turns, yielding, obstacle avoidance, and complex interactions with other road users.Every decisionultimately manifestsas atrajectory executed by the vehicle.

As the leader of this team, you will shape the algorithms and ML systems that translatesensor inputs intosafe, smooth, and human-like driving behavior across diverse real-world scenarios. You will lead a high-performing team of engineers buildingML-driven trajectory generationsystems, and drive the roadmap that takes these models from research to production deployment on vehicles.This role requires someone who canset technical direction, mentor senior engineers, and lead large cross-functional initiatives, while remaining deeply involved in the technical architecture and modeling strategies.

What You'll Do:

• Define and drive thetechnical vision and architecture for trajectory generation systemsused in autonomous driving.
• Lead the development ofML-based trajectory generation modelscapable of handling complex and dynamic driving environments.
• Architect scalable training pipelinesusinglarge-scale driving datasets and simulation environments.
• Guide the integration of trajectory generation models intoreal-time onboard systemswith strict latency and safety requirements.
• Influence the designofnext-generation embodied AI architectures for driving.
• Mentor senior engineers and help develop the next generation of technical leaders.
• Raise the bar forengineering excellence, modeling rigor, and production-quality systems.
• Foster a culture of innovation, ownership, and collaborative problem solving.
• Lead complex technical initiatives spanning multiple teams across the autonomous driving stack.
• Collaborate closely with teamsworkingon:data,perception,simulation, safety validation, onboard systems.
• Define roadmaps and priorities aligned with product milestones and safety goals.
• Drive solutions fromresearch prototypes through production deployment.

Your Skills & Abilities:

• MS or PhD in Computer Science, Robotics, Machine Learning, orrelatedfield.
• Experienceleadingtechnical teams delivering production ML systems.
• Deepexpertiseinone or more areas:robotics planning andcontrol,imitation learning or reinforcement learning, generative models,large-scale machine learning systems
• Strong software engineering skills (Python, C++, or similar).
• Experience deploying ML models intoreal-world or safety-critical environments.
• Demonstrated ability todefine architecture and drive large technical initiatives across teams.

Preferred Qualifications

• Experience withautonomous driving, robotics, or embodied AI systems.
• Background in trajectory planning, motion planning, or behavior modeling.
• Experiencewithlarge-scale training infrastructure and distributed ML pipelines.
• Experiencewithsimulation-based training or evaluation of driving policies.

Remote/Hybrid:

Thisrole is based remotely but if you live within a 50-mile radius of Austin, Detroit, Warren,Milfordor Mountain View, you are expected to report to that location three timesperweek, at minimum.

Compensation:

The compensation information is a good faith estimate only. It is based on what a successful applicant might be paidin accordance withapplicable state laws. The compensation may not be representative for positionslocatedoutside of the California Bay Area.

• The salary range for this role is $296,300.00 to $423,900.00. 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 incentivepayprogram 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 assistanceprograms, employeeassistanceprogram, GM vehicle discounts and more.

Relocation:

This job may be eligible forrelocationbenefits.

Company Vehicle:

Upon successful completion of a motor vehicle report review, you will be eligible toparticipatein a company vehicle evaluation program, through which you will be assigned a General Motors vehicle to drive and evaluate. Note: program participantsare required topurchase/lease a qualifying GM vehicle every four years unless one of a limited number of exceptions applies.

About GM

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Benefits Overview

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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.

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