Staff Ml Infrastructure Engineer - Embodied Ai

General Motors Australia & New Zealand

Base: $189,300.00 to $290,700.00; bonus/equity: in...
**
5+ years building large-scale distributed systems
Expertise in python or c++ coding
Deep understanding of machine learning algorithms
** General Motors is seeking a Staff ML Infrastructure Engineer for its Embodied AI team, focusing on developing machine learning solutions to enhance autonomous driving. The ideal candidate should have extensive experience in building large-scale distributed systems and a strong background in machine learning, with a passion for transforming the future of transportation. **

Job Summary

  • The role involves leading the design and deployment of scalable platforms to accelerate the machine learning development cycle for autonomous driving models.
  • Candidates will mentor junior engineers, participate in technical interviewing, and drive architectural decisions for complex end-to-end projects.
  • General Motors offers a comprehensive benefits package including medical, dental, vision, retirement savings, and potential company vehicle discounts.

Matching Summary

Match Score: 75

** General Motors is seeking a Staff ML Infrastructure Engineer for its Embodied AI team, focusing on developing machine learning solutions to enhance autonomous driving. The ideal candidate should have extensive experience in building large-scale distributed systems and a strong background in machine learning, with a passion for transforming the future of transportation. **

Salary

Base: $189,300.00 to $290,700.00; Bonus/Equity: Incentive pay program based on performance; Benefits: Medical, dental, vision, retirement, tuition assistance

Skills & Requirements

Must-have

  • 5+ years building large-scale distributed systems
  • Expertise in Python or C++ coding
  • Deep understanding of machine learning algorithms
  • End-to-end ML development lifecycle experience
  • Strong cross-functional collaboration skills

Nice-to-have

  • Experience with distributed training methodologies
  • Familiarity with PyTorch or TensorFlow frameworks
  • Proficiency with Docker and Kubernetes orchestration
  • Experience scaling ML across GPU/CPU clusters
  • Knowledge of advanced build systems like Bazel

Key Requirements

  • BS, MS, or PhD in Computer Science or equivalent
  • 5+ years of experience in advanced ML systems
  • Proven track record designing robust frameworks with high-quality APIs

Work Rights

Not specified

Tailored Resume

Cover Letter