General Motors-posted 4 days ago
$152,000 - $230,000/Yr
Full-time • Mid Level
Hybrid • Mountain View, CA
Transportation Equipment Manufacturing
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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.

  • 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
  • 4+ 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.
  • 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.
  • 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
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