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

Google LLC; Mountain View (CA); On-site; USD 217,000 - 236,000; Full time

Job summary

Google DeepMind in Mountain View is seeking a Technical Program Manager for Off-the-Shelf Hardware to align hardware with model compute, power, bandwidth, and latency needs. You will lead data-driven benchmarking, collaborate with AI researchers and engineering teams, and work with procurement to source hardware and transition prototypes into deployment.

The role requires a Bachelor’s in Engineering and 5+ years in technical program management or hardware.

Qualifications

• Bachelor's degree in Engineering or equivalent practical experience.
• 5+ years of experience in technical program management or hardware engineering.
• Experience managing hardware evaluation, testing, characterization, or NPI programs.

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 data and failure analyses into designs.
• Work with procurement on sourcing, lead times, and vendor relations; transition prototypes into field deployment; own milestones and risks; deliver updates to leadership.

Skills

Engineering degree

5+ years experience

Hardware evaluation / NPIs

Education

Bachelor's degree in Engineering

Job description

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

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

corporate_fare DeepMind place Mountain View, CA, USA

• 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.

About the job

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.

We are pushing the boundaries across multiple domains. Our global teams offer diverse learning opportunities and varied career pathways for those driven to achieve exceptional results through collective effort. Individual pay is determined by factors including job-related skills, experience, and relevant education or training.

US: $217000 - $236000 (USD) + 15% bonus target + equity + benefits

• 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.

Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law. See also Google's EEO Policy , Know your rights: workplace discrimination is illegal , Belonging at Google , and How we hire .

Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting.

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