Silicon Technical Lead

Snapshot

Artificial Intelligence could be one of humanitys most useful inventions. At Google DeepMind were a team of scientists engineers machine learning experts and more working together to advance the state of the art in artificial intelligence. We use our technologies for widespread public benefit and scientific discovery and collaborate with others on critical challenges ensuring safety and ethics are the highest priority.

About Us

At Google DeepMind weve built a unique culture and work environment where long-term ambitious research can flourish. We are seeking a highly motivated and experienced Silicon Technical Lead to join our team and lead the development of groundbreaking silicon for machine learning acceleration.

The Role

We are seeking a talented and highly motivated Silicon Technical Lead to join our GenAI technical infrastructure research hardware team. You will lead a multi-disciplinary team to define and execute our hardware strategy manage vendor relationships and deliver successful silicon tape-outs. This role requires a blend of deep technical expertise strategic thinking and strong leadership.

Key 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.

About You

We seek out individuals who thrive in ambiguity and who are willing to help out with whatever moves silicon design and architecture forward. We regularly need to invent novel solutions to problems and often change course if our ideas dont work out so flexibility and adaptability to work on any project is a must. We value strong leadership technical depth and a collaborative spirit.

In order to set you up for success as a Software Engineer at Google DeepMind we look for the following skills and experience:

• Bachelors 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.

In addition the following would be an advantage:

• Masters 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.

At Google DeepMind we value diversity of experience knowledge backgrounds and perspectives and harness these qualities to create extraordinary impact. We are committed to equal employment opportunity regardless of sex race religion or belief ethnic or national origin disability age citizenship marital domestic or civil partnership status sexual orientation gender identity pregnancy or related condition (including breastfeeding) or any other basis as protected by applicable law. If you have a disability or additional need that requires accommodation please do not hesitate to let us know.