Principal AI/ML Infra Leader — Remote-Ready

Aimlroles; Northern (KY); Hybrid; USD 276,000 - 341,000; Full time

Job summary

General Motors (GM) is seeking a Principal AI/ML Engineer to lead the AV ML Infra team, guiding long-term vision and execution for GM’s AI/ML efforts. This leadership role will shape infrastructure capabilities at scale and foster partnerships across cross-functional teams.

The role focuses on building infrastructure products enabling GM teams to perform machine learning and data science at scale, with a startup mindset and passion for autonomous vehicle tech.

Qualifications

• 10+ years in large-scale distributed systems, with leadership of large initiatives.
• 5+ years leading large-scale initiatives.
• Experience building scalable cloud infrastructure using Python, C++, Golang.
• Experience with relational and NoSQL databases.
• Bachelor/Master/PhD in CS/EE/Math/Phys or related field.
• Passion for autonomous vehicle technology.
• Attention to detail and accuracy.
• Proven track record solving complex problems.
• Startup mentality and wearing multiple hats.

Responsibilities

• Design & implement scalable cloud solutions (GCP/Azure) for distributed computing.
• Own technical projects from inception to completion and influence the roadmap.
• Collaborate in planning, code reviews, and design discussions across teams.
• Mentorship and recruitment of engineers and interns.

Skills

Distributed systems

Leadership

Cloud infrastructure

Python

C++

Golang

Problem solving

Attention to detail

Startup mentality

Education

Bachelor/Master/PhD in CS/EE/Math/Physics

Tools

GCP

Azure

AWS

Kubernetes

Kubeflow

Flyte

Airflow

RayServe

vLLM

Triton

Job description

General Motors (GM) is seeking a Principal AI/ML Engineer to lead the AV ML Infra team, guiding long-term vision and execution for GM’s AI/ML efforts. This leadership role will shape infrastructure capabilities at scale and foster partnerships across cross-functional teams.

The role focuses on building infrastructure products enabling GM teams to perform machine learning and data science at scale, with a startup mindset and passion for autonomous vehicle tech.