Onboard ML Lead Engineer - Autonomous Driving

General Motors Ventures

Washington

Hybrid

Confidential

Full time

14 days+

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Job summary

General Motors is seeking a Technical Lead in Machine Learning for the Onboard Embodied AI organization. You will drive end-to-end ML solutions translating sensor data into driving actions, enabling robust autonomous navigation.

You will mentor engineers, shape roadmaps, and collaborate with cross-functional teams to deploy onboard models with real-time performance. The role requires advanced ML expertise, leadership experience, and strong Python/C++ software engineering skills using PyTorch,

Qualifications

Master's or Ph.D. in Machine Learning, Robotics, Computer Science, Electrical Engineering, or a related technical field.

Responsibilities

Drive the design, development, and deployment of advanced onboard ML models for real-time inference in autonomous driving.
Lead and architect complex ML projects from conception to onboard implementation emphasizing scalability, robustness, and safety.
Champion innovation in neural architectures, training methodologies, and inference optimization for real-time onboard deployment.
Provide technical mentorship and thought leadership across teams to elevate ML engineering practices.
Collaborate with multidisciplinary engineering groups to integrate ML capabilities into autonomous vehicle systems.
Influence technical roadmaps and ML priorities aligned with company objectives and milestones.