Senior Ml Infrastructure Engineer - Embodied Ai Scaling Foundations

General Motors

Base: $153,200.00 to $234,100.00; bonus: incentive...
Hybrid
3+ years distributed systems experience
Python or c++ coding proficiency
Docker and kubernetes expertise
The role focuses on building critical infrastructure to dramatically accelerate the machine learning development cycle for autonomous driving models

Job Summary

  • The role focuses on building critical infrastructure to dramatically accelerate the machine learning development cycle for autonomous driving models.
  • Engineers will own complex technical projects end-to-end, making key architectural decisions while mentoring junior team members.
  • The position offers a competitive salary range of $153,200 to $234,100 along with comprehensive health, retirement, and vehicle discount benefits.

Matching Summary

The role focuses on building critical infrastructure to dramatically accelerate the machine learning development cycle for autonomous driving models.

Salary

Base: $153,200.00 to $234,100.00; 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

  • 3+ years distributed systems experience
  • Python or C++ coding proficiency
  • Docker and Kubernetes expertise
  • MLOps and ML lifecycle management
  • Cloud infrastructure cost efficiency

Nice-to-have

  • Passion for self-driving technology
  • Experience with PyTorch or TensorFlow
  • Distributed training methodologies
  • Model performance profiling skills
  • Advanced build systems like Bazel

Key Requirements

  • BS, MS, or PhD in Computer Science or Math
  • 3+ years building large-scale distributed systems
  • Deep understanding of machine learning algorithms
  • Hands-on experience with MLOps practices

Work Rights

Not specified

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