ML HW-SW Co-Design Silicon Tech Lead Manager

TLDR

Lead a multidisciplinary team to enhance ML accelerator designs, ensuring technical cohesion and executing strategies for next-generation silicon technology.

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.

DeepMind develops advanced artificial intelligence systems that push the boundaries of what's possible. We cater to a diverse range of scientific communities and industries, focusing on creating AI technologies that can tackle significant global challenges and drive public benefit. Our distinctive approach combines deep learning and reinforcement learning with insights from neuroscience, fostering a culture of innovative research and collaboration.

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