Principal Tech Lead Manager - Embodied Ai Evaluation Foundations

General Motors

Base: $296,300 to $453,900; bonus: incentive pyy b...
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React/typescript frontend development
Python backend engineering
Kubernetes infrastructure management
** General Motors is seeking a Principal Tech Lead Manager for its Evaluation Foundations team, focusing on developing and scaling tools for evaluating autonomous vehicle models. The role requires a blend of front-end and back-end tech expertise, particularly in AI/ML and large-scale systems, to enhance model performance evaluation. **

Job Summary

  • The role involves owning the technical vision and architecture for measuring and visualizing autonomous vehicle model performance across the organization.
  • Candidates will build scalable evaluation pipelines on cloud/GPU infrastructure to shorten the experimental path toward better AI models.
  • The position offers a competitive salary range of $296,300 to $453,900 along with benefits including company vehicle eligibility.

Matching Summary

Match Score: 75

** General Motors is seeking a Principal Tech Lead Manager for its Evaluation Foundations team, focusing on developing and scaling tools for evaluating autonomous vehicle models. The role requires a blend of front-end and back-end tech expertise, particularly in AI/ML and large-scale systems, to enhance model performance evaluation. **

Salary

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

Skills & Requirements

Must-have

  • React/TypeScript frontend development
  • Python backend engineering
  • Kubernetes infrastructure management
  • Spark stream processing
  • BigQuery data handling
  • WebGL/WebGPU 3D visualization

Nice-to-have

  • Experience in Robotics or Autonomous Driving
  • Familiarity with Rosbags and Protobuf formats
  • Mentoring engineers on best practices
  • Collaboration with simulation teams

Key Requirements

  • Bachelor's, Master's or PhD in Computer Science
  • Proven experience building large-scale distributed systems
  • Senior technical leadership capability

Work Rights

Not specified

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