Hardware-Focused Technical Program Manager for AI Research

DeepMind Technologies Limited

Mountain View (CA)

On-site

USD 217,000 - 236,000

Full time

5 days ago
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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

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

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