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.
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
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
Benefits
- Medical, dental, vision insurance
- 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
- Company vehicle evaluation program
- Relocation benefits
