Senior ML Platform & Ops Engineer for Autonomous Driving

Aimlroles; Northern (KY); Hybrid; USD 153,000 - 234,000; Full time

Benefits offered by this job

Relocation benefits

Vehicle discounts

Comprehensive benefits package

Job summary

General Motors' Embodied AI team is accelerating autonomous driving by building scalable ML platforms and reliable deployment workflows. You will design and deploy pipelines, drive complex ML projects with strong ownership, and collaborate across GM to optimize platform adoption and performance.

You’ll contribute to a culture of high-quality code, mentorship for juniors, and cross-functional teamwork to deliver safe, scalable autonomous capabilities at scale.

Qualifications

• 3+ years of experience working on large-scale distributed systems, applications, or ML infrastructure.
• Experience designing robust services or frameworks with durable APIs.
• Solid understanding of machine learning workflows and hands-on production ML deployments.
• Experience building reliable, high-performance systems on cloud infrastructure.
• Proficiency with Python or C++ and exposure to ML development lifecycle (training, deployment, MLOps).
• Strong cross-functional collaboration and ability to work with multiple teams.

Responsibilities

• Design, implement, and deploy scalable platforms and tools for ML training and evaluation across GM.
• Drive complex technical projects with ownership of implementation, code quality, and reliability.
• Participate in design discussions and architectural decisions with senior engineers and leads.
• Collaborate with partner teams to meet real-world ML development needs and maximize adoption.
• Identify improvements and prioritize platform investments to boost performance and developer productivity.
• Foster engineering culture through code reviews, documentation, and operational excellence.
• Support onboarding and mentoring of junior engineers and interns.

Skills

Distributed systems

APIs design

ML workflows

Python

C++

Cloud infrastructure

Collaboration

MLOps

Education

BS/MS/PhD in CS/Math

Tools

Docker

Kubernetes

TensorFlow

PyTorch

Bazel/Buck/CMake

Job description

General Motors' Embodied AI team is accelerating autonomous driving by building scalable ML platforms and reliable deployment workflows. You will design and deploy pipelines, drive complex ML projects with strong ownership, and collaborate across GM to optimize platform adoption and performance.

You’ll contribute to a culture of high-quality code, mentorship for juniors, and cross-functional teamwork to deliver safe, scalable autonomous capabilities at scale.