6h 8m ago
Senior Research Engineer, AI Assisted Chip Design, DeepMind
$174k - $252k USD/yr
🏢On-site
|United States of AmericaSenior Research Engineer, AI Assisted Chip Design, DeepMind
Google | Artificial Intelligence
6h 8m agoOn-site
Full Time
IC
United States of America
$174k - $252k USD/yr
Senior Research Engineer, AI Assisted Chip Design, DeepMind
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corporate_fareDeepMindplaceMountain View, CA, USA
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Minimum qualifications:
- Bachelor’s degree or equivalent practical experience.
- 5 years of experience with software development in one or more programming languages.
- 3 years of experience building and shipping technical products. Experience with the domain area of Generative AI and Large Language Models (LLM).
- 3 years of experience testing, maintaining, or launching software products, and 1 year of experience with software design and architecture.
Preferred qualifications:
- Master's degree or PhD in Computer Science or related technical field.
- 1 year of experience in a technical leadership role.
- Experience developing accessible technologies.
About the job
In this role, you will develop and apply state-of-the-art AI methods—including multi-turn agentic flows, reinforcement learning (RLVR, RLAIF, RLHF), and evolutionary search to chip design, collaborating closely with research and production silicon teams across Google.As a part of the team, composed of research scientists, research engineers, and software engineers, has already delivered significant impact on real products and flagship Google silicon through foundational research breakthroughs. You will work in lockstep with hardware architects, RTL/DV engineers, and ML model developers to integrate cutting-edge research directly into production chips.
As a part of the AI-assisted chip design team, you will leverage Gemini to optimize the EDA life-cycle and significantly accelerate silicon development. You will solve complex challenges across all design stages, improve Gemini for silicon applications to streamline hardware design and verification, enhance efficiency, and reduce time-to-market.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 varied learning opportunities and 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: $174000 - $252000 (USD) + 15% bonus target + equity + benefits
Learn more about benefits at Google.
Responsibilities
- Architect, build, and scale multi-turn agentic flows with Gemini and evolutionary workflows (e.g., AlphaEvolve) for improving chip design.
- Develop and curate LLM benchmarks for chip design to evaluate and advance frontier model capabilities.
- Leverage scalable evaluation and Reinforcement Learning (RL) post-training workflows to improve Gemini models for chip design.
- Build on the momentum of landmark AI-for-silicon breakthroughs, where our AI-driven RTL and logic optimization methods have delivered substantial power, performance, and area (PPA) improvements on flagship production chips, and help shape the future of the chip design industry.
- Use AI to solve some of the most complex tasks in automating chip design, such as spec-to-RTL generation, RTL optimization, RTL debugging, and automated Design Verification (DV).
Information collected and processed as part of your Google Careers profile, and any job applications you choose to submit is subject to Google's Applicant and Candidate Privacy Policy.
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.
If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form.
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.
To all recruitment agencies: Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees, or any other organization location. Google is not responsible for any fees related to unsolicited resumes.
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.
Required Languages
🇬🇧 English