Technical Program Manager, Off-the-Shelf Hardware
Google DeepMind · Mountain View, CA, USA
CHECKED 22H AGO
Frontier labonsite$217k–$236k
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)