Staff Silicon Architect, DeepMind

Google Inc.; New York (NY); On-site; USD 256,000 - 278,000; Full time

Benefits offered by this job

Equity grants

Global opportunities

Job summary

Google DeepMind is seeking a senior hardware architect to design and implement codesigned accelerators for next‑gen AI workloads. You will own subsystems from requirements through tapeout, collaborating with ML algorithms and performance optimization teams to reach peak efficiency and programmability.

Join a cross-disciplinary group delivering production‑quality hardware and software, shaping scalable data‑center solutions while aligning with safety and ethics priorities across Google's global

Qualifications

• 10 years of experience with leading multiple design domains (Design For Test, Design Verification and Physical Design).
• 5 years of experience with logic design, computer architecture, and circuit theory.
• 5 years of experience in power or performance modeling or system performance analysis.

Responsibilities

• Architect, design, and implement hardware for novel systolic array accelerators.
• Own subsystems up to the entire accelerator, carry the implementation of those subsystems from requirements through design sketches, implementation, timing closure, through tapeout, and into bringup and application mapping.
• Collaborate with application, algorithm, and performance‑tuning experts to codesign solutions for the best efficiency, performance, and programmability.
• Write code for accelerators to meet up with production requirements at the system, library, and application levels.
• Bring a generalist approach to computer systems beyond specific hardware‑related skills, interfacing with colleagues in a wide span of disciplines.

Skills

Design For Test

Design Verification

Physical Design

Logic design

Computer architecture

Circuit theory

Power modeling

Performance modeling

System performance analysis

Leading multiple design domains

Education

Master's degree in Electrical Engineering, Computer Engineering or Computer Science

PhD in Electrical Engineering, Computer Engineering or Computer Science

Tools

Verilog/SystemVerilog

HDL design

Linux kernel development

Job description

X Applicants in San Francisco: Qualified applications with arrest or conviction records will be considered for employment in accordance with the San Francisco Fair Chance Ordinance for Employers and the California Fair Chance Act. Note: By applying to this position you will have an opportunity to share your preferred working location from the following: New York, NY, USA; Zürich, Switzerland; Mountain View, CA, USA; San Francisco, CA, USA.

• Bachelor's degree in Electrical Engineering, Computer Engineering, Computer Science, a related field, or equivalent practical experience.
• 10 years of experience with leading multiple design domains (Design For Test, Design Verification and Physical Design).
• 5 years of experience with logic design, computer architecture, and circuit theory.
• 5 years of experience in power or performance modeling or system performance analysis.

Preferred qualifications:

• Master's degree or PhD in Electrical Engineering, Computer Engineering or Computer Science, with an emphasis on computer architecture.
• 2 year of experience in linux kernel programming.
• Experience with processor core architectures (such as ARM, x86, RISC-V, etc.) and IPs commonly used in SoC designs.

About the job

As a part of today's hyperscale AI competition, accelerators have become a strategic differentiator. In this role, you will help deliver codesigned systems that, unlike classic data center infrastructure, must meet future demands as our workloads continue to evolve and mutate. You will deploying new hardware in Google data centers through our projects to drive enhanced capabilities and efficiency, partner closely with the teams responsible for Google’s technical infrastructure to successfully deliver these systems. In this role, you will join a co-design team within DeepMind’s GenAI Systems, operating across Google’s vertically integrated stack. In this role, you will bring expertise spanning hardware, including architecture, logic design, design verification, and physical design software, such as compilation, performance optimization, libraries, operating systems, and kernels, and algorithms, covering ML model design, optimization methods, numerics, and sparsity. In these fields, you will conduct cutting-edge research while delivering production-quality hardware and software products. Artificial intelligence will be one of humanity’s most transformative inventions. At Google DeepMind, we are a pioneering AI lab with exceptional interdisciplinary teams focused on advancing AI development to solve complex global challenges and accelerate high-quality product innovation for billions of users. We use our technologies for widespread public benefit and scientific discovery, ensuring safety and ethics are always our highest priority. We are pushing the boundaries across multiple domains. Our global teams offer various learning opportunities and varied career pathways for those driven to achieve exceptional results through collective effort. Individual pay is determined by factors including job-related skills, experience, and relevant education or training. US: $256000 - $278000 (USD) + 20% bonus target. Learn more about benefits at Google.

• Architect, design, and implement hardware for novel systolic array accelerators.
• Own subsystems up to the entire accelerator, carry the implementation of those subsystems from requirements through design sketches, implementation, timing closure, through tapeout, and into bringup and application mapping.
• Collaborate with application, algorithm, and performance‑tuning experts to codesign solutions for the best efficiency, performance, and programmability.
• Write code for accelerators to meet up with production requirements at the system, library, and application levels.
• Bring a generalist approach to computer systems beyond specific hardware‑related skills, interfacing with colleagues in a wide span of disciplines.

Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law. See also Google's EEO Policy , Know your rights: workplace discrimination is illegal , Belonging at Google , and How we hire .

Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting.

Equity is granted exclusively and discretionarily by Alphabet Inc. on the basis of an agreement concluded between you and Alphabet Inc. Alphabet Inc. is your sole contractual partner with respect to equity grants. GSU grants are not guaranteed, are discretionary, are subject to approval by the Alphabet Inc. board of directors or its delegate, the terms of the relevant Alphabet Inc. stock plan, and your grant agreement. They have no impact on statutory payments. Current or past grants do not confer an acquired right.