Deepmind
Deepmind~1mo ago

ML HW-SW Co-Design Silicon Tech Lead Manager

EngineeringOtherManagementEngineering Manager
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Quick Summary

Overview

Snapshot At Google DeepMind, we value a unique culture where long-term ambitious research flourishes. We are seeking a highly motivated ML Silicon Tech Lead Manager to join our HW-SW co-design team.

Key Responsibilities

As a TLM, you will spend a significant portion of your time on technical execution while managing a multi-disciplinary team to evolve our ML accelerator designs in close collaboration with a paired ML software team.

Requirements Summary

GenAI at Google DeepMind prioritizes deeply technical leadership. We are looking for an individual who: Contributes as a Senior IC: You are expected to be a direct technical contributor, particularly during onboarding and within key workstreams.

Technical Tools
machine-learning

At Google DeepMind, we value a unique culture where long-term ambitious research flourishes. We are seeking a highly motivated ML Silicon Tech Lead Manager to join our HW-SW co-design team. This is a hands-on role for a deeply technical expert who will also lead a high-impact team to drive advances in machine learning acceleration.

GenAI at Google DeepMind prioritizes deeply technical leadership. We are looking for an individual who:

  • Contributes as a Senior IC: You are expected to be a direct technical contributor, particularly during onboarding and within key workstreams.
  • Acts as a Technical Anchor: You excel at aligning senior engineers who may have diverging technical directions. You are the person who reduces the feeling of "too many moving parts" by providing a cohesive architectural north star.
  • Thrives in Ambiguity: You are flexible enough to change course when ideas don't work out and willing to "plug in" wherever the project needs the most senior technical support.

As a TLM, you will spend a significant portion of your time on technical execution while managing a multi-disciplinary team to evolve our ML accelerator designs  in close collaboration with a paired ML software team.

Responsibilities

~2 min read
  • Direct Technical Contribution (IC): Directly contribute to the codebase and technical strategy. IC focus can be one specific silicon engineering discipline, or spanning the program needs more broadly.
  • Technical Team Leadership: Lead a small team of ML silicon engineers across logic design, physical design, interconnect, and power.
  • Architectural Alignment: Drive team cohesion by synthesizing fragmented technical opinions into a single, high-quality execution plan.
  • HW-SW Strategy: Partner closely with the ML software team to define requirements for next-generation ML accelerators.
  • Execution Management: Oversee technical execution across a virtual team including Google-internal and external partners.

Minimum Qualifications:

  • Bachelor's degree in Electrical Engineering, Computer Engineering, Computer Science, or a related field, or equivalent practical experience.
  • 10+ years of experience in silicon architecture, design, validation, or product development.
  • Proven track record of technical leadership and successfully delivering complex silicon projects (tape-outs) to production.
  • Deep expertise in at least one core silicon discipline (e.g., RTL, PD, DV) and strong familiarity with the entire ASIC flow.
  • Experience with managing cross-functional silicon projects, including schedule, scope, and execution, and also managing silicon vendors and other external partners.

Preferred Qualifications:

  • Master's or Ph.D. in a related field.
  • Experience leading and managing teams across the full silicon development cycle, from RTL to bringup.
  • Experience with high-performance compute IPs (e.g., GPUs, ML accelerators).
  • Knowledge of high-performance and low-power architectures for ML acceleration.
  • Excellent communication, and leadership skills.

Location & Eligibility

Where is the job
Mountain View, United States
On-site at the office
Who can apply
US
Listed under
United States

Listing Details

First seen
March 26, 2026
Last seen
May 8, 2026

Posting Health

Days active
42
Repost count
0
Trust Level
23%
Scored at
May 8, 2026

Signal breakdown

freshnesssource trustcontent trustemployer trust
Deepmind
Deepmind
greenhouse
Employees
5
Founded
2023
View company profile
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DeepmindML HW-SW Co-Design Silicon Tech Lead Manager