Digital Verification Engineer, AI-Enabled Chip Design, Google Brain

Google - Mountain View, CA4.3

Full-timeEstimated: $110,000 - $140,000 a year
EducationSkills
Minimum qualifications:
Bachelor’s degree in Electrical Engineering or equivalent practical experience.

7 years of hardware, design and bring-up, and NPI experience.

Experience with chip design (SoC/ASIC/IPs) workflows and design, digital verification, formal verification, and test generation.

Preferred qualifications:
Master’s degree or PhD in Electrical Engineering.

10 years of hardware, design and bring-up experience.

3 years of experience in team leadership and/or management.
About the job
Our computational challenges are so big, complex and unique we can't just purchase off-the-shelf hardware, we've got to make it ourselves. Your team designs and builds the hardware, software and networking technologies that power all of Google's services. As a Hardware Engineer, you design and build the systems that are the heart of the world's largest and most powerful computing infrastructure. You develop from the lowest levels of circuit design to large system design and see those systems all the way through to high volume manufacturing. Your work has the potential to shape the machinery that goes into our cutting-edge data centers affecting millions of Google users.

Google AI applies cutting-edge research to create products and businesses that positively transform how people live, work, and play. Our team works with researchers to take concepts from idea to execution with the goal of developing products that empower people, whether by elevating creativity, creating opportunity, advancing health, or more.

As a Digital Verification Engineer, you’ll join our team and guide it from research proof-of-concept to viable product for internal and external users. You will contribute experience in chip design and an understanding for design workflows. Additionally, you will bring an informed long-term point of view on future changes to chip design.
There is always more information out there, and the Research and Machine Intelligence team has a never-ending quest to find it and make it accessible. We're constantly refining our signature search engine to provide better results, and developing offerings like Google Instant, Google Voice Search and Google Image Search to make it faster and more engaging. We're providing users around the world with great search results every day, but at Google, great just isn't good enough. We're just getting started. Responsibilities

Represent the needs of chip designers across the workflow (e.g., design, synthesis, implementation).

Work with experts from our Platform team, electronic design automation (EDA) partners, and foundries.

Understand the infrastructure, tools, and libraries required for our research to interface with real-world systems and EDA tools.

Act as an individual contributor while simultaneously working to shape direction and strategy as the project scales.

Work directly with Google AI experts to design and run experiments.
At Google, we don’t just accept difference—we celebrate it, we support it, and we thrive on it for the benefit of our employees, our products and our community. Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing this form .