Head of Behavior Validation for Autonomous Driving

General Motors Corporation; Sunnyvale (CA); Híbrido; USD 219.000 - 335.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Company vehicle program

Relocation benefits

Descripción de la vacante

General Motors in Sunnyvale, California, is seeking an Applied ML/AI Manager - Behavior Validation to lead a team focused on behavior evaluation and human benchmarking for autonomous vehicles. You will design and operate offboard ML models and integrate them into validation pipelines.

You will collaborate with autonomy, simulation, safety, and product teams to align ML priorities with roadmaps and long-term performance goals, while enabling scalable validation processes.

Formación

• 8+ years of experience and MS/PhD in CS/ML/Robotics/SE/DS.
• Strong programming and data skills in Python and PyTorch.
• 2+ years of people management or tech lead experience.

Responsabilidades

• Lead and grow a cross-functional team focused on behavior evaluation and human benchmarking for autonomous vehicles.
• Design, implement, and operate offboard ML models capable of robust behavioral inference.
• Architect technical roadmaps, shaping strategic ML priorities aligned with company objectives and product milestones.
• Partner closely with autonomy, simulation, safety, and product teams to integrate these models into the validation ecosystem of autonomous vehicles.

Conocimientos

Python

PyTorch

People management

Educación

MS/PhD in Computer Science, Machine Learning, Robotics, Software Engineering, or Data Science

Descripción del empleo

General Motors in Sunnyvale, California, is seeking an Applied ML/AI Manager - Behavior Validation to lead a team focused on behavior evaluation and human benchmarking for autonomous vehicles. You will design and operate offboard ML models and integrate them into validation pipelines.

You will collaborate with autonomy, simulation, safety, and product teams to align ML priorities with roadmaps and long-term performance goals, while enabling scalable validation processes.