ML Engineer, ML Compute Platform

Job Description

Hybrid:
This role is categorized as hybrid. The successful candidate is expected to report to the GM Global Technical Center – Cole Engineering Center Podium or Mountain View Technical Center, CA at least three times per week, or as directed by the business. This job is eligible for relocation assistance.

The ML Compute Platform is part of the AI Compute Platform organization within Infrastructure Platforms. Our team owns a cloud‑agnostic, reliable, and cost‑efficient compute backend that powers GM AI. We support autonomous vehicle teams (L3/L4/L5) and other groups building AI‑driven products, enabling rapid innovation and feature development. We focus on training and deployment of state‑of‑the‑art machine learning models with emphasis on performance, availability, concurrency, and scalability, maximizing GPU utilization across platforms.

We are seeking a Staff ML Engineer to build and scale robust compute platforms for ML workflows. You will work closely with ML engineers and researchers to ensure efficient model training and seamless deployment into production, shaping the user‑facing experience of the platform.

• Design and implement core platform backend software components
• Work with cloud platforms such as GCP, Azure, or on‑prem infrastructure
• Collaborate with ML engineers and researchers to understand platform pain points and improve developer experience
• Navigate a dynamic, multi‑tasking environment with evolving priorities, interfacing with other teams to incorporate innovations
• Analyze and improve efficiency, scalability, and stability of system resources
• Lead large‑scale technical initiatives across GM’s ML ecosystem
• Raise the engineering bar through technical leadership and best practices
• Contribute to and potentially lead open‑source projects; represent GM in relevant communities

• 8+ years of industry experience
• Expertise in Go, C++, Python, or other relevant coding languages
• Strong background with Kubernetes at scale
• Experience building large‑scale distributed systems
• Experience leading and driving large‑scale initiatives
• Experience with Google Cloud Platform, Microsoft Azure, or Amazon Web Services

• Hands‑on experience building ML infrastructure platforms focused on developer/user experience
• Experience designing job orchestration interfaces, CLI tools, or web UIs for ML workflows
• Familiarity with observability, telemetry, and user feedback loops to inform product improvements
• Experience with GPU/TPU optimizations
• Experience with training frameworks such as PyTorch and TorchX
• Experience with the Ray framework
• Leadership or active participation in the open‑source community
• Experience with infrastructure applications or similar roles

• Base compensation: $195,000 - $298,000 (dependent on factors relevant to the position)
• Bonus potential: incentive pay based on company performance, job level, and individual performance
• Benefits: health, dental, vision, Health Savings Account, Flexible Spending Accounts, retirement savings plan, sickness and accident benefits, life insurance, paid vacation and holidays

General Motors is committed to being a workplace that is not only free of unlawful discrimination but one that genuinely fosters inclusion and belonging. All employment decisions are made on a non‑discriminatory basis without regard to sex, race, color, national origin, citizenship status, religion, age, disability, pregnancy or maternity status, sexual orientation, gender identity, status as a veteran or protected veteran, or any other similarly protected status in accordance with federal, state and local laws.

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