ML HW-SW Co-Design Silicon Tech Lead Manager
Quick Summary
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.
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.
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.
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
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
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