Principal AI/ML Engineer

General Motors (GM)

Confirmed live today High trust
Hybrid

Quick summary

Work type
Hybrid
Location
Sunnyvale, CAAustinDetroitWarrenMilfordMountain View
Salary
$296,300–$423,900 / yr
Employment
Full-time
Posted
120 days ago
Freshness
Confirmed live today

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $220k
This role $360k
$125k $456k
below market most similar roles pay here above market

This role pays more than 99% of similar roles. Most pay $180,000–$259,000 — the blue band above. At the midpoint, this role pays about $360k versus about $220k for comparable roles.

Based on 240 similar postings.

Employer

About General Motors (GM)

General Motors (GM) is a leading American multinational automotive corporation founded in 1908 and headquartered in Detroit, Michigan.

General Motors (GM) currently has 196 open roles on FindRole.

Listed pay typically runs $159,200–$245,000 across 54 roles with salary data.

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At a glance

TL;DR · Principal AI/ML Engineer

The Principal AI/ML Engineer will serve as a Principal Technical Lead Manager for the Trajectory Generation team within the Embodied AI organization. In this role, you will lead a high-performing team of engineers to develop machine learning-driven systems that produce precise vehicle motion plans for autonomous driving. Your daily responsibilities include defining technical architecture, building scalable training pipelines, and guiding the integration of models into real-time onboard systems for maneuvers like lane changes and obstacle avoidance. You will utilize Python, C++, and expertise in robotics planning, imitation learning, reinforcement learning, and generative models. The work focuses on solving complex motion planning problems to ensure safe, smooth, and human-like driving behavior across diverse real-world scenarios while moving models from research prototypes to production deployment.

What you'll do

  • Define and drive the technical vision and architecture for autonomous vehicle trajectory generation systems.
  • Lead the development of ML-based models to produce safe and human-like driving behaviors.
  • Architect scalable training pipelines using large-scale driving datasets and simulation environments.
  • Guide the integration of trajectory models into real-time onboard systems with strict latency requirements.
  • Mentor senior engineers and develop the next generation of technical leaders within the organization.
  • Drive technical initiatives and roadmaps from research prototypes through production deployment on vehicles.
  • Lead cross-functional projects involving data, perception, simulation, and safety validation teams.

What we're looking for

  • MS or PhD in Computer Science, Robotics, Machine Learning, or a related field.
  • Experience leading technical teams to deliver production 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.
  • Demonstrated ability to define architecture and drive large technical initiatives across multiple teams.
  • Experience with autonomous driving, robotics, or embodied AI systems (preferred).
  • Background in trajectory planning, motion planning, or behavior modeling (preferred).

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