Principal AI/ML Engineer - Onboard Embodied AI at General Motors

Mountain View, California, United States

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Not SpecifiedCompensation

Senior (5 to 8 years), Expert & Leadership (9+ years)Experience Level

Full TimeJob Type

UnknownVisa

Automotive, Autonomous VehiclesIndustries

Requirements

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
Bonus: AV/ADAS experience is a big plus

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

Skills

Key technologies and capabilities for this role

Machine LearningNeural NetworksEnd-to-End MLAutonomous DrivingReal-Time InferenceSensor Data ProcessingModel ArchitectureModel DeploymentScalable MLSafety-Critical SystemsTraining Methodologies

Questions & Answers

Common questions about this position

Is this role remote or hybrid, and what's the office requirement?

This role is categorized as hybrid, meaning the successful candidate is expected to report to the Mountain View Technical Center in the Bay Area three times per week, at minimum.

What education and experience are required for this position?

A Master's or Ph.D. in Machine Learning, Robotics, Computer Science, Electrical Engineering, or a related field is required, along with 5+ years of modern machine learning techniques and extensive experience developing and deploying advanced ML systems in end-to-end real-time onboard applications.

What are the key responsibilities of the Principal AI/ML Engineer?

Key responsibilities include driving the design, development, and deployment of advanced onboard ML models, leading and architecting complex ML projects, championing innovation in neural network architectures, providing technical mentorship, collaborating with multidisciplinary teams, and influencing technical roadmaps.

What is the team culture like for the Onboard Embodied AI organization?

The Onboard Embodied AI team is collaborative and innovative, at the forefront of developing groundbreaking onboard ML systems for fully autonomous vehicles using modern end-to-end machine learning approaches.

What makes a strong candidate for this Principal AI/ML Engineer role?

A strong candidate will have a proven track record as a technical leader and expert in developing robust deep learning models that directly map sensor data to actionable outputs, along with experience in end-to-end real-time onboard applications.

General Motors

Designs, manufactures, and sells vehicles

About General Motors

General Motors designs, manufactures, and sells vehicles and vehicle parts, catering to individual consumers, businesses, and government entities. The company operates in both traditional internal combustion engine vehicles and the growing electric vehicle (EV) market, generating revenue through vehicle sales and financing services. GM stands out from competitors with its commitment to community service, sustainability, and diversity, as evidenced by a majority female Board of Directors. The company's goal is to balance traditional automotive manufacturing with technological advancements in electric and autonomous vehicles.

Detroit, MichiganHeadquarters

1908Year Founded

$486.7MTotal Funding

IPOCompany Stage

Automotive & Transportation, Financial ServicesIndustries

10,001+Employees