Principal AI/ML Engineer

General Motors (GM)

Confirmed live yesterday High trust
Hybrid

Quick summary

Work type
Hybrid
Location
Sunnyvale, CAAustin, TXDetroit, MIWarren, MIMilford, MIMountain View, CA
Salary
$296,300–$423,900 / yr
Posted
74 days ago
Freshness
Confirmed live yesterday

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $214k
This role $360k
$145k most similar roles pay here $454k

This role pays more than 98% of similar roles. Most pay $180,375–$248,440 — the shaded band above. At the midpoint, this role pays about $360k versus about $214k 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 116 open roles on FindRole.

Listed pay typically runs $160,200–$245,000 across 59 roles with salary data.

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At a glance

TL;DR · Principal AI/ML Engineer

As a Principal AI/ML Engineer within the Embodied AI organization, you will lead the Trajectory Generation team to develop critical components for autonomous driving systems. You will be responsible for creating machine learning models that translate sensor inputs into precise vehicle motion plans, including lane changes, merges, and obstacle avoidance. Your daily work involves defining technical architectures, building scalable training pipelines using large-scale datasets and simulation environments, and overseeing the transition of research prototypes into production-ready onboard systems. The role requires expertise in robotics planning and control, imitation learning, reinforcement learning, or generative models. You will utilize Python and C++ to develop high-performance software while mentoring senior engineers. This position solves complex motion planning challenges to ensure safe, smooth, and human-like driving behavior across diverse real-world scenarios within the autonomous vehicle domain.

What you'll do

  • Define and drive the technical vision and architecture for autonomous vehicle trajectory generation systems.
  • Lead the development of machine learning models to produce safe, human-like driving behaviors in dynamic environments.
  • Architect scalable training pipelines using large-scale driving datasets and simulation environments.
  • Integrate trajectory models into real-time onboard systems while meeting strict latency and safety requirements.
  • Mentor senior engineers and develop the next generation of technical leaders within the organization.
  • Drive complex technical initiatives across multiple teams including data, perception, simulation, and safety validation.
  • Manage the roadmap to transition research prototypes into production-ready deployments on vehicles.

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, or generative models.
  • 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 lead large technical initiatives across multiple teams.
  • Preferred experience with autonomous driving, robotics, or embodied AI systems.
  • Preferred experience with trajectory planning, motion planning, or behavior modeling.

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