> Markdown version of [/jobs/ext/3340058-technical-program-manager-off-the-shelf-hardware-deepmind](https://www.wearedevelopers.com/jobs/ext/3340058-technical-program-manager-off-the-shelf-hardware-deepmind). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Technical Program Manager, Off-the-Shelf Hardware, DeepMind - **Company:** Google LLC - **Location:** Mountain View, CA, United States - **Experience:** Expert - **Salary:** $217,000.0 - $236,000.0 - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Computer Engineering, Kinematics, Microsoft Dynamics, Data Analytics - **Published:** September 27, 2026 - **Apply:** https://dejobs.org/x/x/0B45760F4788491C8014D09A6909635A/job/ ## About the Role * Bachelor's degree in an 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. * Demonstrated ability to thrive in an ambiguous, fast-paced research environment and collaborate effectively across multidisciplinary engineering teams. ## Description * Partner with AI researchers to match hardware with model compute, power, bandwidth, and latency needs. * Establish and manage a data-driven benchmarking framework to assess and down-select commercial off-the-shelf (OTS) hardware. * Collaborate with engineering teams to build and scale physical and software benchmarking testbeds. Feed OTS performance data and failure analyses into custom engineering designs. * Work with procurement on sourcing, lead times, and vendor relations; partner with Operations to transition prototypes into field deployment. Own milestones, manage technical trade-offs, mitigate risks, and deliver strategic updates to leadership and cross-functional program management.