Principal AI/ML Engineer

General Motors

Principal Technical Lead Manager leading the Trajectory Generation team for autonomous driving at General Motors. Shaping ML systems that determine vehicle motion across diverse scenarios.

Posted 6/30/2026full-timeSunnyvale • California • 🇺🇸 United StatesLead💰 $296,300 - $423,900 per yearWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Expertise in defining technical vision and architecture for trajectory generation systems in autonomous driving, with strong leadership in developing ML-based models and deploying them in safety-critical environments.

Highest-signal resume keywords

Machine Learning SystemsTrajectory Generation ModelsPython ProgrammingRobotics Planning and ControlTechnical Team Leadership

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Machine LearningRoboticsImitation LearningReinforcement LearningGenerative ModelsLarge-Scale Machine LearningSoftware EngineeringC++ ProgrammingArchitecture DefinitionProduction Deployment

Soft Skills

MentoringCollaborative Problem SolvingInnovationOwnership

Tools & Technologies

Simulation EnvironmentsOnboard SystemsSafety Validation

Certifications & Qualifications

MS in Computer SciencePhD in RoboticsPhD in Machine Learning

Industry Keywords

Autonomous DrivingTechnical InitiativesEngineering ExcellenceModeling RigorSafety Requirements

Tech Stack

Tools & technologies

Python

About the role

Key responsibilities & impact

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 capable of handling complex and dynamic driving environments
Architect scalable training pipelines using large-scale driving datasets and simulation environments
Guide the integration of trajectory generation models into real-time onboard systems with strict latency and safety requirements
Influence the design of next-generation embodied AI architectures for driving
Mentor senior engineers and help develop the next generation of technical leaders
Raise the bar for engineering 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 teams working on: data, perception, simulation, safety validation, onboard systems
Define roadmaps and priorities aligned with product milestones and safety goals
Drive solutions from research prototypes through production deployment

Requirements

What you’ll need

MS or PhD in Computer Science, Robotics, Machine Learning, or related field
Experience leading technical teams delivering production ML systems
Deep expertise in one or more areas: robotics planning and control, imitation learning or reinforcement learning, generative models, large-scale machine learning systems
Strong software engineering skills (Python, C++, or similar)
Experience deploying ML models into real-world or safety-critical environments
Demonstrated ability to define architecture and drive large technical initiatives across teams

Benefits

Comp & perks

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