KeyStep

ML HW-SW Co-Design Silicon Tech Lead Manager

Google DeepMind
Mountain View, California, US
24 days ago
full-timeGenAI

Skills & Technologies

Technical SupportMachine LearningExcelGenAIStrategyOnboardingDisciplinaryElectrical EngineeringLeadershipTeam LeadershipResearch

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.

Company & Role Analysis

JobSeeker+
Likely perks
Private MedicalPension25+ Days HolidayStock OptionsLearning BudgetFlexible Hours
Culture & working style

Neutral 2–4 sentence summary of what working at this company is like, drawn from public reviews and press coverage. Tone, collaboration style, pace, benefits highlights.

Market salary range

£45,000 – £60,000 (Glassdoor, Levels.fyi, 2025)

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