T
Talent@ Beta
Deepmind

ML HW-SW Co-Design Silicon Tech Lead Manager

Deepmind · Acquired · Website

Role Details

Location
Mountain View, California, US
Salary (est. USD)
~$119K - $187K (est. USD)

Estimated based on role seniority, company stage (Acquired), and industry benchmarks. Actual compensation may vary.

How is this calculated?
Seniority band Senior / Lead
Domain premium Design (−15%)
Base range $119K – $187K

Based on Web3 & AI industry compensation data. Seniority is inferred from role title keywords. Company stage affects ranges: early-stage (−15%), late-stage/public (+10%).

Department
GenAI
Type
Full-time
Vertical
AI

Job Description

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. 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.

About You

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.

The Role

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.

Key Responsibilities:

  • 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.

About Deepmind

Google's AI research lab. AlphaFold, Gemini, and breakthrough AI research.

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