Principal Tech Lead Manager - Embodied Ai Evaluation Foundations

General Motors

Base: $296,300 to $453,900; bonus: incentive pyy b...
Not specified
React typescript frontend development
Python backend high-throughput streaming
Spark bigquery kubernetes infrastructure
General Motors is seeking a Principal Tech Lead Manager for its Embodied AI Evaluation Foundations team, focusing on building diverse datasets and advanced tools for evaluating autonomous vehicle models. The role involves leading technical vision, collaborating with various teams, and ensuring high-quality evaluation metrics and introspection tools

Job Summary

  • The role involves owning the technical vision and architecture for measuring and visualizing autonomous vehicle model performance.
  • Candidates will build and scale evaluation pipelines on modern cloud and GPU infrastructure to ensure cost efficiency and strong observability.
  • Successful applicants receive a competitive salary range of $296,300 to $453,900 along with eligibility for a company vehicle program.

Matching Summary

Match Score: 85

General Motors is seeking a Principal Tech Lead Manager for its Embodied AI Evaluation Foundations team, focusing on building diverse datasets and advanced tools for evaluating autonomous vehicle models. The role involves leading technical vision, collaborating with various teams, and ensuring high-quality evaluation metrics and introspection tools.

Salary

Base: $296,300 to $453,900; Bonus: Incentive pay based on company and individual performance; Benefits: Medical dental vision retirement savings GM vehicle discounts

Skills & Requirements

Must-have

  • React TypeScript frontend development
  • Python backend high-throughput streaming
  • Spark BigQuery Kubernetes infrastructure
  • WebGL WebGPU 3D sensor visualization
  • ROSbags Protobuf AV data formats

Nice-to-have

  • Robotics or Autonomous Driving experience
  • Mentoring engineers across teams
  • Collaborative high-impact team culture
  • Experience with L2 L3 L4 applications

Key Requirements

  • Bachelor's Master's or PhD in Computer Science
  • Proven experience building large scale systems
  • Excellent communication skills for diverse stakeholders

Work Rights

Not specified

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