Staff Ml Infrastructure Engineer - Embodied Ai Offboard Perception

General Motors

Austin, Texas, United States
Base: $189,300.00 to $290,700.00; bonus: incentive...
Hybrid
Strong software engineering fundamentals
Proficiency in python and pytorch
Experience building ml training and deployment pipelines
The role involves developing and deploying offboard machine learning solutions that deliver ground-truth-quality world estimates for multiple partner teams within the Embodied AI organization

Job Summary

  • The role involves developing and deploying offboard machine learning solutions that deliver ground-truth-quality world estimates for multiple partner teams within the Embodied AI organization.
  • Engineers will design robust ML infrastructure including CI/CD pipelines, automated testing, and observability frameworks to ensure reliable model performance in production.
  • General Motors offers a comprehensive benefits package including medical, dental, vision, retirement savings, and eligibility for a company vehicle program upon successful completion of a motor vehicle report review.

Matching Summary

The role involves developing and deploying offboard machine learning solutions that deliver ground-truth-quality world estimates for multiple partner teams within the Embodied AI organization.

Salary

Base: $189,300.00 to $290,700.00; Bonus: Incentive pay program based on company and individual performance; Benefits: Medical, dental, vision, HSA, FSA, retirement plan, paid vacation, tuition assistance, GM vehicle discounts

Skills & Requirements

Must-have

  • Strong software engineering fundamentals
  • Proficiency in Python and PyTorch
  • Experience building ML training and deployment pipelines
  • Knowledge of containerization and Kubernetes
  • Familiarity with distributed training on GPU clusters

Nice-to-have

  • Experience in robotics or autonomous driving
  • Background in perception systems
  • Mentorship and collaboration skills
  • Understanding of data quality checks
  • Ability to shape technical direction

Key Requirements

  • Senior level experience in ML infrastructure
  • Production system development background
  • End-to-end ML workflow expertise

Work Rights

Not specified

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