Principal Tech Lead Manager - Embodied Ai Evaluation Foundations
General Motors Australia & New Zealand
Base: $296,300 to $453,900; bonus: incentive pyy b...
Not specified
Frontend react typescript webgl webgpu
Backend python high-throughput data streaming
Data infrastructure spark bigquery kubernetes
General Motors Australia & New Zealand is seeking a Principal Tech Lead Manager for its Embodied AI Evaluation Foundations team. The role involves leading the technical architecture for model evaluation and introspection tools for autonomous vehicle applications, requiring a strong background in AI/ML technologies
Job Summary
The role involves owning the technical vision and architecture for measuring and visualizing AV model performance within the Embodied AI organization.
Candidates will build and scale evaluation pipelines on modern cloud and GPU infrastructure while ensuring cost efficiency and strong observability.
General Motors offers a comprehensive benefits package including health coverage, retirement savings, tuition assistance, and eligibility for a company vehicle program.
Matching Summary
Match Score: 85
General Motors Australia & New Zealand is seeking a Principal Tech Lead Manager for its Embodied AI Evaluation Foundations team. The role involves leading the technical architecture for model evaluation and introspection tools for autonomous vehicle applications, requiring a strong background in AI/ML technologies.
Salary
Base: $296,300 to $453,900; Bonus: Incentive pay based on company and individual performance; Benefits: Medical, dental, vision, HSA, FSA, retirement plan, paid vacation, tuition assistance, GM vehicle discounts
Skills & Requirements
Must-have
Frontend React TypeScript WebGL WebGPU
Backend Python high-throughput data streaming
Data infrastructure Spark BigQuery Kubernetes
AV data formats Rosbags Protobuf
Building large scale performant systems
Nice-to-have
Experience in Robotics or Autonomous Driving
Mentoring engineers and setting best practices
Collaboration with diverse AI/ML teams
Strong communication skills for stakeholders
Key Requirements
Bachelor's Master's or PhD in Computer Science
Proven experience building large scale distributed systems
Accelerating applied research under tight deadlines