This role pays more than
99%
of similar roles. Most pay
$191,537–$246,150
— the shaded band above.
At the midpoint, this role pays about
$360k
versus about
$219k
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
126 open roles
on FindRole.
Listed pay typically runs
$170,000–$258,500
across 75 roles with salary data.
The Principal Technical Lead Manager (TLM) role within the Trajectory Generation team at Embodied AI involves leading a high-performing group of engineers to develop machine learning-driven trajectory generation systems for autonomous vehicles. This position requires setting technical direction, mentoring senior engineers, and driving large cross-functional initiatives while remaining deeply involved in the architecture and modeling strategies. Key responsibilities include defining the technical vision for trajectory generation, architecting scalable training pipelines using large-scale datasets, integrating models into real-time onboard systems with strict safety requirements, and collaborating closely with data, perception, simulation, and safety validation teams to ensure seamless integration and deployment of ML models. Ideal candidates possess an MS or PhD in Computer Science, Robotics, Machine Learning, or a related field, along with extensive experience leading technical teams delivering production ML systems and deploying models into real-world environments. Preferred qualifications include expertise in autonomous driving, robotics, trajectory planning, and large-scale training infrastructure.
Define and drive the technical vision for trajectory generation systems in autonomous driving.
Lead development of ML-based models for complex, dynamic driving environments.
Architect scalable training pipelines using large-scale datasets and simulation environments.
Guide integration of trajectory models into real-time onboard systems with strict requirements.
Mentor senior engineers and develop future technical leaders within the organization.
Influence design of next-generation embodied AI architectures for autonomous vehicles.
What we're looking for
MS or PhD in Computer Science, Robotics, Machine Learning, or related field.
Experience leading technical teams delivering production ML systems.
Deep expertise in robotics planning and control, imitation learning, reinforcement learning, generative models, or large-scale machine learning systems.
Strong software engineering skills with proficiency in Python, C++, or similar languages.
Demonstrated ability to define architecture and drive large technical initiatives across multiple teams.
Experience deploying ML models into real-world or safety-critical environments.
Remote (Gm Automation - Sunnyvale - Gm Automation - Sunnyvale, US)52 days ago
$158,000–$241,900
Python
PyTorch
TensorFlow
JAX
C++
Neural Networks
Computer Vision
Real-time Inference
Model Optimization
Scalability
Robustness
Safety-Critical Systems
Deep Learning
End-to-End ML
CI/CD