Senior ML Infra Engineer for Autonomous Driving Platforms

General Motors; Austin (TX); On-site; USD 129,000 - 261,000; Full time

Benefits offered by this job

Health and wellbeing programs

GM vehicle discounts

Job summary

General Motors is seeking a Senior ML Infra Engineer to build critical infrastructure powering ML engineers working on Autonomous Driving models. You will design scalable platforms for model training and evaluation, and own projects end-to-end while collaborating with multiple teams.

You will mentor engineers and participate in interviewing, helping to grow the team's capabilities as we accelerate AI-driven vehicle advancement across GM.

Qualifications

• 3+ years of experience building large-scale distributed systems or advanced ML applications.
• Proven track record of building robust frameworks with high-quality APIs.
• Deep understanding of machine learning algorithms and ML lifecycle practices.

Responsibilities

• Lead design, implementation, and deployment of scalable ML infra platforms and tools for model training and evaluation across GM.
• Own complex technical projects end-to-end, with architectural decisions and code quality responsibilities.
• Take a holistic view of projects, drive prioritization across teams, and collaborate with partner teams for maximum system impact.
• Shape the team through technical interviewing, and mentor/join interns and engineers.

Skills

Distributed systems

APIs

Machine learning

Cloud infrastructure

MLOps

Cross-team collaboration

Docker

Kubernetes

Python/C++

Education

BS, MS, or PhD in CS/Math

Tools

Docker

Kubernetes

PyTorch

TensorFlow

Bazel/Buck/Blaze/CMake

Job description

General Motors is seeking a Senior ML Infra Engineer to build critical infrastructure powering ML engineers working on Autonomous Driving models. You will design scalable platforms for model training and evaluation, and own projects end-to-end while collaborating with multiple teams.

You will mentor engineers and participate in interviewing, helping to grow the team's capabilities as we accelerate AI-driven vehicle advancement across GM.