General Motors · 12 hours ago
Principal AI/ML Engineer - Onboard Embodied AI
Mountain View, CA
Full-time
Hybrid
Senior Level, Lead/Staff
$259K/yr - $397K/yr
5+ years expGeneral Motors is at the forefront of developing groundbreaking onboard ML systems powering fully autonomous vehicles. The Principal AI/ML Engineer will drive cutting-edge end-to-end machine learning solutions, mentor ML engineers, and collaborate with cross-functional teams to enhance autonomous driving performance.
AutomotiveElectric VehicleInformation ServicesManufacturingTransportation
Responsibilities
Drive the design, development, and deployment of advanced onboard ML models, delivering end-to-end solutions capable of real-time inference and robust autonomous driving performance
Lead and architect complex machine learning projects, from conception through validation to onboard implementation, emphasizing scalability, robustness, and safety-critical operation
Champion innovation in neural network architectures, training methodologies, and inference optimization strategies suited for real-time onboard deployment
Provide technical mentorship and thought leadership, elevating engineering practices, and fostering ML innovation across teams
Collaborate closely with multidisciplinary engineering groups, ensuring seamless integration of ML capabilities into autonomous vehicle systems
Influence technical roadmaps, shaping strategic ML priorities aligned with company objectives and product milestones
Qualification
Required
Master's or Ph.D. in Machine Learning, Robotics, Computer Science, Electrical Engineering, or a related technical field
5+ years of modern machine learning techniques
Extensive experience developing and deploying advanced ML systems, particularly in end-to-end real-time onboard applications
Proven track record as a technical leader and expert in developing robust deep learning models that directly map sensor data to actionable outputs within safety-critical systems
Deep expertise in state-of-the-art computer vision techniques, neural architectures, representation learning, real-time inference, model optimization, and robustness under uncertainty
Strong software engineering proficiency, particularly Python and C++, alongside extensive hands-on experience with modern ML frameworks (PyTorch, TensorFlow, JAX)
Excellent communication, collaboration, and mentoring abilities, comfortable influencing technical strategy and guiding ML engineering excellence across the organization
Preferred
AV/ADAS experience is a big plus
Benefits
Bonus Potential: An incentive pay program offers payouts based on company performance, job level, and individual performance.
This job may be eligible for relocation benefits.
Company
General Motors
General Motors is an automotive company that designs, produces, markets, and distributes vehicles and vehicle parts.
10001+ employees
H1B Sponsorship
General Motors has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (787)
2024 (740)
2023 (450)
2022 (795)
2021 (748)
2020 (452)
Funding
Current Stage
Public CompanyTotal Funding
$8.51BKey Investors
US Department of Energy
2025-05-05Post Ipo Debt· $2B
2024-10-31Grant· $8M
2024-07-11Grant· $500M
Leadership Team
Mary Barra
Chair and Chief Executive Officer
Tony Cervone
Senior Vice President, Global Communications
Recent News
DBusiness Magazine
2026-01-14
2026-01-14
Company data provided by crunchbase