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

Mountain View, California, United States

Apply Now

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

Machine Learning

Neural Networks

End-to-End ML

Autonomous Driving

Real-Time Inference

Sensor Data Processing

Model Architecture

Model Deployment

Scalable ML

Safety-Critical Systems

Training Methodologies

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