Staff ML Infra Engineer for Autonomous Driving

General Motors; United States; Hybrid; USD 172,000 - 335,000; Full time

Benefits offered by this job

Health and wellbeing benefits

Relocation assistance

Job summary

General Motors seeks a Staff ML Infra Engineer to accelerate autonomous driving by building scalable model training and evaluation platforms. You will own end-to-end, design robust systems, and mentor junior engineers while collaborating across GM teams.

The role offers remote or hybrid work in the United States, with compensation applicable to the Bay Area range and a strong incentive program. Bring advanced ML expertise to a transformative mobility project.

Qualifications

• 5+ years building large-scale distributed systems or ML platforms.
• Robust API design and high-quality software engineering.
• Hands-on ML knowledge and cloud experience.
• End-to-end ML lifecycle and MLOps practices required.
• Strong cross-functional collaboration and coding in Python/C++.
• Background in autonomous driving is highly valued.

Responsibilities

• Lead design and deployment of scalable ML training/evaluation platforms.
• Own complex projects end-to-end with architectural trade-offs.
• Collaborate across teams to maximize system impact.
• Contribute to technical interviews and recruit junior staff.
• Mentor engineers and interns to grow their careers.

Skills

Distributed systems

API design

ML systems

Cloud infrastructure

MLOps

Cross-functional collaboration

Python or C++

Autonomous driving interest

Academic credentials (CS/Math)

Education

BS, MS, or PhD in Computer Science or Mathematics

Tools

Docker

Kubernetes

Bazel

Buck

CMake

PyTorch

TensorFlow

Job description

General Motors seeks a Staff ML Infra Engineer to accelerate autonomous driving by building scalable model training and evaluation platforms. You will own end-to-end, design robust systems, and mentor junior engineers while collaborating across GM teams.

The role offers remote or hybrid work in the United States, with compensation applicable to the Bay Area range and a strong incentive program. Bring advanced ML expertise to a transformative mobility project.