Staff AI Methodology Design/CAD Engineer
- linkCopy link
- emailEmail a friend
Minimum qualifications:
- Bachelor’s degree in Electrical Engineering, Computer Science, or a related technical field, or equivalent practical experience.
- 10 years of experience using scripting languages specifically Python, Tcl, and Unix Shell to architect automation tools and infrastructure.
- Experience with standard ASIC flows and Chip EDA tools.
Preferred qualifications:
- Proficiency with modern revision control systems, such as Git.
About the job
As part of our team you'll have opportunities to participate in advancing AI for Chip Design. Automating the chip design workflow is a huge test that can transform the EDA industry. Our opportunity is to build such capabilities, and pioneer next-generation products in collaboration with teams spanning major Product Areas. In this role, you will bring the most advanced ML models and technologies to chip design. Enable efficiency across the entire AI learning stack. Scale and harden research prototypes into tools that serve chip design across Google. Engage and work in a fast paced, rapidly shifting environment, demonstrating flexibility and the ability to bring clarity in ambiguous problem spaces.
The ML, Systems, & Cloud AI (MSCA) organization at Google designs, implements, and manages the hardware, software, machine learning, and systems infrastructure for all Google services (Search, YouTube, etc.) and Google Cloud. Our end users are Googlers, Cloud customers and the billions of people who use Google services around the world.
We prioritize security, efficiency, and reliability across everything we do - from developing our latest TPUs to running a global network, while driving towards shaping the future of hyperscale computing. Our global impact spans software and hardware, including Google Cloud’s Vertex AI, the leading AI platform for bringing Gemini models to enterprise customers.
Responsibilities
- Fine-tune AI agents by refining prompt strategies, toolsets, core skills, and model selection.
- Design and build CAD tools and integrated workflows that allow AI agents to seamlessly interact with EDA software and design data.
- Partner with design teams and CAD flow leads across projects to pinpoint complex design hurdles and evaluate AI integration opportunities.
- Develop evaluation datasets and quality metrics, executing model evaluations to uncover agent failure modes.
- Assess vendor EDA AI tools and benchmark them against internal proprietary solutions.
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.