Senior ML Infra Engineer for Autonomous Driving Platforms

General Motors; Sunnyvale (CA); On-site; USD 140,000 - 234,000; Full time

Job summary

General Motors is seeking a Senior MLInfra Engineer to design and deploy scalable machine learning training platforms. This role focuses on rapid dataset generation, training, evaluation, and iteration for autonomous driving models in a production-ready environment.

You will work with senior engineers to ensure platform reliability, optimize performance on cloud infrastructure, and accelerate the ML development life cycle across GM’s autonomous driving initiatives.

Qualifications

• 3+ years of experience on large-scale distributed systems, applications, or ML infrastructure.
• Experience designing robust services or frameworks with durable APIs.
• Solid understanding of ML workflows and production ML systems.

Responsibilities

• Design, implement, and deploy scalable ML training platforms for autonomous driving experiments.
• Drive complex ML infra projects with ownership of implementation, code quality, and reliability.
• Collaborate on technical design and architecture with senior engineers and leads.

Skills

Distributed systems

ML infrastructure

Python

C++

Cloud computing

Team collaboration

Mentoring

Autonomous driving

Education

BS/MS/PhD in CS/Math

Tools

Docker

Kubernetes

CUDA/Bazel/CMake

Job description

General Motors is seeking a Senior MLInfra Engineer to design and deploy scalable machine learning training platforms. This role focuses on rapid dataset generation, training, evaluation, and iteration for autonomous driving models in a production-ready environment.

You will work with senior engineers to ensure platform reliability, optimize performance on cloud infrastructure, and accelerate the ML development life cycle across GM’s autonomous driving initiatives.