Principal Tech Lead Manager - Embodied Ai Evaluation Foundations

General Motors

Multiple Locations
Base: $296,300 to $453,900; bonus/equity: an incen...
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Technical vision and architecture
Measure and visualize av model performance
High-quality evaluation signal
** General Motors is seeking a Principal Tech Lead Manager for its Embodied AI Evaluation Foundations team. The role focuses on developing high-quality evaluation systems for autonomous vehicle models while collaborating with various teams to enhance model performance and ensure data-driven decisions. **

Job Summary

  • As a Principal Engineer, you will own the technical vision and architecture for how we measure and visualize AV model performance, focusing on the entire lifecycle of designing, implementing, scaling, and iterating on state-of-the-art tools.
  • You will build and scale evaluation pipelines on modern cloud / GPU infrastructure, with strong observability and cost efficiency, and lead development of visualization and introspection tools that let teams quickly drill from aggregates down to concrete examples, failure modes, and regressions.
  • Your work ensures evaluation, data, and infra form a cohesive evaluation flywheel: better signal → better data and training decisions → better models → better signal.

Matching Summary

Match Score: 75

** General Motors is seeking a Principal Tech Lead Manager for its Embodied AI Evaluation Foundations team. The role focuses on developing high-quality evaluation systems for autonomous vehicle models while collaborating with various teams to enhance model performance and ensure data-driven decisions. **

Salary

Base: $296,300 to $453,900; Bonus/Equity: An incentive pay program offers payouts based on company performance, job level, and individual performance; Benefits: GM offers a variety of health and wellbeing benefit programs.

Skills & Requirements

Must-have

  • technical vision and architecture
  • measure and visualize AV model performance
  • high-quality evaluation signal
  • visualization and metrics presentation
  • deeply introspect model behavior
  • evaluation flywheel
  • Python, high-throughput data streaming
  • Spark for stream processing, BigQuery
  • Kubernetes, specialized AV data formats

Nice-to-have

  • cutting-edge technology
  • collaborative, high-impact team
  • safety, reliability, and scalability
  • model-based metrics
  • end-to-end simulation
  • offline metrics and tools alignment
  • domain expert for evaluation tooling

Key Requirements

  • Bachelor’s, Master’s or PhD degree in Computer Science
  • Experience accelerating applied research
  • Proven experience in building large scale systems
  • Excellent communication skills
  • Previous experience in Robotics or Autonomous Driving (Plus)

Work Rights

Not specified

Tailored Resume

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