TPM — AI Compute Infrastructure & Strategy

Google DeepMind

Mountain View (CA)

On-site

USD 217,000 - 236,000

Full time

36 hours ago
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Job summary

Google DeepMind in Mountain View is seeking a Technical Program Manager to lead the end-to-end planning and ongoing management of its ML hardware portfolio. You will join a high-impact Compute Planning team, collaborating with Product Managers, Engineers and Researchers to define and optimize compute capabilities for transformative AI projects.

As a TPM, you will drive scalable, repeatable solutions that balance costs with performance, ensuring ROI while aligning with DeepMind's safety and

Qualifications

  • Bachelor's degree in Computer Science, Engineering, a related technical field, or equivalent practical experience.
  • 5 years of experience in technical program management in an infrastructure or AI environment.
  • Experience in Python and SQL to query data or script automations.

Responsibilities

  • Lead planning, tracking, and management of the compute fleet at scale.
  • Own end-to-end programs optimizing CPU, RAM, and TPU workloads to deliver ROI.
  • Partner with leadership to balance costs, utilization, and research velocity for key priorities.
  • Bridge Finance, Engineering, and Research teams, translating compute data into executive decisions.
  • Debug infrastructure bottlenecks and drive internal AI tooling adoption.

Skills

Python
SQL
PM experience

Education

Bachelor's degree in Computer Science, Engineering, a related technical field, or equivalent practical experience.

Job description

Google DeepMind in Mountain View is seeking a Technical Program Manager to lead the end-to-end planning and ongoing management of its ML hardware portfolio. You will join a high-impact Compute Planning team, collaborating with Product Managers, Engineers and Researchers to define and optimize compute capabilities for transformative AI projects.

As a TPM, you will drive scalable, repeatable solutions that balance costs with performance, ensuring ROI while aligning with DeepMind's safety and

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