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

DeepMind Technologies Limited; Mountain View (CA); On-site; USD 217,000 - 236,000; Full time

Benefits offered by this job

Bonus target

Equity

Benefits

Job summary

DeepMind Technologies Limited is seeking a senior hardware-focused technical program manager to guide hardware evaluation, testing, and NPI programs in a fast-paced AI research setting. You will collaborate with AI researchers and multiple engineering teams to align hardware capabilities with compute needs and performance benchmarks.

Individual pay ranges with equity and benefits are provided, with a strong emphasis on data-driven decision making and cross-functional collaboration across

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.

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.

Skills

Technical program management

Hardware engineering

Hardware evaluation / testing / NPI

Education

Bachelor’s degree in Engineering or equivalent

Job description

• 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.

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.

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

Responsibilities

Learn more about benefits at Google .

• 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 workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form .