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Google DeepMind · 1 day ago

Silicon Technical Lead

Mountain View, California, US

Full-time

Onsite

Lead/Staff

10+ years exp

Google DeepMind is a team of scientists and engineers focused on advancing artificial intelligence for public benefit. They are seeking a Silicon Technical Lead to lead the development of innovative silicon for machine learning acceleration, managing vendor relationships and delivering successful silicon tape-outs.

Artificial Intelligence (AI)Business DevelopmentFoundational AIMachine Learning

Growth Opportunities

Responsibilities

Lead the work of multi-disciplinary silicon engineers, including RTL, Physical Design (PD), Design Verification (DV), and post-silicon bringup

Define and drive the end-to-end hardware strategy for next-generation machine learning accelerators

Manage relationships and technical execution with silicon vendors, IP providers, and manufacturing partners

Drive the team to deliver high-quality silicon on schedule, drawing on a strong history of successful tape-outs

Collaborate with architects, software, and systems teams to define product requirements and ensure hardware-software co-design

Own technical decision-making for the full ASIC lifecycle, from architecture handover to production

Qualification

ASIC designSilicon tape-outsTechnical leadershipRTLPhysical DesignDesign VerificationVendor managementCommunication skillsLeadership skillsCollaboration

Required

Bachelor's degree in Electrical Engineering, Computer Science, or equivalent practical experience

10+ years of experience in ASIC design and 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 silicon vendors and other external partners

Preferred

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

Google DeepMind

Glassdoor4.5

Google DeepMind aims to research and build safe artificial intelligence system to solve intelligence and advance science and humanity. It is a sub-organization of Google.

Founded in 2010

London, England, GBR

501-1000 employees