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Technical Program Manager, Off-the-Shelf Hardware

Google DeepMind · Mountain View, CA, USA

CHECKED 22H AGO

Frontier labonsite$217k–$236k
Apply on the lab’s site ↗

At a glance

Highlights

  • Match off-the-shelf hardware to AI model compute and latency needs.
  • Build data-driven benchmarking framework to down-select OTS hardware.
  • Feed OTS performance data into custom engineering designs for deployment.

What they offer

  • 15% bonus target
  • equity
  • benefits

Ideal candidate

Hardware-focused program leader who thrives in ambiguous research environments and loves bridging AI researchers and engineers to turn commercial hardware insights into field-ready systems.

Requirements

  • Bachelor's degree in Engineering field or equivalent practical experience
  • 5 years of experience in technical program management or hardware engineering
  • Experience managing hardware evaluation, testing, characterization, or NPI programs
  • Direct experience with vendor management
  • Familiarity with test infrastructure
  • Understanding of hardware requirements for AI research
  • Knowledge of robotic system design, including kinematics, dynamics, control algorithms, and perception systems
  • Ability to thrive in ambiguous, fast-paced research environment and collaborate across multidisciplinary teams

Lab profile

About Google DeepMind

Google's AI lab building frontier models like Gemini to advance science and general intelligence.

What they build

  • Gemini
  • Gemma
  • AlphaFold

Known for

  • Frontier foundation models and GenAI
  • Large-scale training with JAX, PyTorch, TensorFlow
  • Model evaluation and deployment expertise
  • Responsible frontier AI research

Key facts

  • Founded in 2010
  • Headquartered in London, UK
  • Part of Google (Alphabet)
More about Google DeepMind →
Apply on the lab’s site ↗