Technical Program Manager, Off-the-Shelf Hardware, DeepMind

Artificial intelligence will be one of humanity’s most transformative inventions. At DeepMind, we are a pioneering AI lab with exceptional interdisciplinary teams focused on advancing AI development to solve complex global challenges and accelerate high-quality product innovation for billions of users. We use our technologies for widespread public benefit and scientific discovery, ensuring safety and ethics are always our highest priority.

Responsibilities

• 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.

Minimum qualifications:

• 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.

Preferred qualifications:

• 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.