Staff Software Engineer – AI Platform

GM•Mountain View, CA

13d•Hybrid

About The Position

Join the team driving the future of AI innovation at General Motors! Our AI Core Infrastructure team, which sits directly under the Chief AI Officer, is a high-impact team powering GM’s enterprise-wide AI infrastructure—from customer in-vehicle experience to manufacturing innovation. We design the foundational AI infrastructure that powers every corner of the company. We're building the data, compute, and deployment layers necessary to scale cutting-edge AI systems across GM's global operations. Our core responsibilities include building and scaling core AI infrastructure and tools to enable rapid development, training, fine-tuning, evaluation, and deployment of AI models across the organization, collaborating with vehicle and manufacturing teams to deliver high-impact AI solutions across GM’s portfolio, championing and promoting cutting-edge AI technologies, while ensuring responsible AI practices. The Role: As a Staff Machine Learning Engineer on the AI Core Infrastructure team, you will play a critical role in shaping GM’s future through the high-impact AI systems you develop. You will design and build advanced AI technologies then integrate them into GM’s business strategies, culture, and operational workflows. You’ll lead large-scale infrastructure initiatives and set technical direction across projects. You’ll serve as a key technical partner to research, product, and vehicle teams, mentoring engineers and driving system architecture.

Requirements

7+ years in software engineering or ML infrastructure (or post-graduate equivalent)
Proven track record of building cutting-edge AI infrastructure (data, training, eval and/or serving)
Strong understanding of modern AI algorithms, models and frameworks (e.g. PyTorch, Tensorflow etc.)
Experience deploying AI systems on Cloud-based GPUs/TPUs (AWS, Azure, GCP, etc.)
Fluency in Python, and at least one of C++/Go/Java
Proven ability to architect production-ready distributed systems
Highly developed communication and collaboration skills

Nice To Haves

Experience in the automotive industry or working with physics-based simulations
Experience with natural language AI, such as customization, summarization and translation
Experience with test-driven development

Responsibilities

Design, develop and test cutting-edge AI infrastructure, including data pipelines, fine-tuning frameworks and evaluation tools
Collaborate with researchers and industry partners to understand technical requirements and measure impact
Scale our architecture to deploy reliably and performantly across large-scale applications
Define best practices for AI software engineering across the company, including AI safety/guardrails
Provide technical guidance to internal teams and business partners
Lead cross-functional development efforts with engineering and product teams
Mentor engineers and foster technical growth across the teams

Benefits

GM offers a variety of health and wellbeing benefit programs.
Benefit options include medical, dental, vision, Health Savings Account, Flexible Spending Accounts, retirement savings plan, sickness and accident benefits, life insurance, paid vacation & holidays, tuition assistance programs, employee assistance program, GM vehicle discounts and more.
Upon successful completion of a motor vehicle report review, you will be eligible to participate in a company vehicle evaluation program, through which you will be assigned a General Motors vehicle to drive and evaluate.

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