Senior Manager, Embodied Ai

General Motors

Base: $296,300-$453,900; bonus: incentive pyy prog...
Hybrid
Bs, ms, or phd in robotics or computer science
Proven experience managing high-performing engineering teams
Track record delivering scalable software solutions using python
General Motors is seeking a Senior Manager for Embodied AI to lead a team of AI/ML engineers in the development of autonomous vehicle technology, focusing on data management and operational excellence. The ideal candidate will possess strong technical and leadership skills, with experience in managing engineering teams and delivering scalable solutions

Job Summary

  • This role emphasizes day-to-day people management, technical guidance, and effective execution to drive the vision of GM's Foundation AV model performance.
  • The team owns the definition and processes for data quality across the data loop, building scalable systems that aim to 10x the data used and its impact on models.
  • Candidates will contribute to the safety, reliability, and scalability of next-generation autonomous vehicles while working with cutting-edge technology and a collaborative team.

Matching Summary

Match Score: 85

General Motors is seeking a Senior Manager for Embodied AI to lead a team of AI/ML engineers in the development of autonomous vehicle technology, focusing on data management and operational excellence. The ideal candidate will possess strong technical and leadership skills, with experience in managing engineering teams and delivering scalable solutions.

Salary

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

Skills & Requirements

Must-have

  • BS, MS, or PhD in Robotics or Computer Science
  • Proven experience managing high-performing engineering teams
  • Track record delivering scalable software solutions using Python
  • Experience solving data scaling challenges for large models

Nice-to-have

  • Background in Robotics or AV/ADAS industry
  • Direct experience leveraging LLMs/VLMs for production workflows
  • Strong data processing skills using Numpy, Pandas, and Apache Spark
  • Experience developing safety-critical code and systems

Key Requirements

  • BS, MS, or PhD in Robotics, Computer Science, Engineering, or related field
  • Proven experience managing and scaling high-performing engineering teams
  • Demonstrated ability to deliver scalable software solutions to production using Python

Work Rights

Not specified

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