Base: $180,000 to $280,000; bonus: incentive pyy b...
Hybrid
End-to-end machine learning solutions
Real-time onboard inference deployment
Safety-critical deep learning models
The role involves driving the design and deployment of advanced onboard ML models capable of real-time inference for safe autonomous driving
Job Summary
The role involves driving the design and deployment of advanced onboard ML models capable of real-time inference for safe autonomous driving.
Candidates will lead complex projects from conception to validation while providing technical mentorship to elevate engineering practices across teams.
Successful applicants are eligible for a company vehicle evaluation program where they may be assigned a General Motors vehicle to drive and evaluate.
Matching Summary
The role involves driving the design and deployment of advanced onboard ML models capable of real-time inference for safe autonomous driving.
Salary
Base: $180,000 to $280,000; Bonus: Incentive pay based on performance; Benefits: Company vehicle program eligibility
Skills & Requirements
Must-have
End-to-end machine learning solutions
Real-time onboard inference deployment
Safety-critical deep learning models
Python and C++ software engineering
PyTorch TensorFlow JAX frameworks
Nice-to-have
Cross-functional collaboration skills
Technical mentorship and leadership
AV/ADAS domain experience
Strategic roadmap influence
Innovation in neural architectures
Key Requirements
Master's or Ph.D. in Machine Learning or related field
4+ years experience with large-scale Foundation Models
Proven track record in safety-critical system development