ASIC Design Verification Engineer - Applying LLMs for DV
We are seeking a highly experienced ASIC Design Verification Engineer to join our dynamic team. This role offers a unique opportunity to work at the intersection of AI and ASIC design verification, contributing to groundbreaking advancements in chip development. The ideal candidate should have a strong background in ASIC design verification, test planning, UVM, and scripting, with a passion for driving innovation and change in the industry. Additionally, skills in cross-functional collaboration, leadership, and a generalist mindset are highly valued.
About Us:
At ChipStack, our mission is to dramatically reduce the time, cost, and engineering effort needed to build complex silicon chips by bringing recent advances in AI to chip design. Our founding team comprises of experts in chip design, AI, and modern software stacks. In past lives—we were researchers, engineers, and leaders at major chip design/AI companies like Qualcomm, Nvidia, Facebook, Google, etc. We also count the Allen Institute for AI as a co-founder, one of the world’s leading AI research institutions. Our investors are top VC funds in the valley and leading figures in the semiconductor industry.
Key Responsibilities:
- Take a leadership role within our chip design team, overseeing and mentoring engineers in the chip design verification area to ensure project success.
- Collaborate closely with our team of machine learning scientists to review the results of AI models and provide feedback for continuous improvement.
- Work closely with our data collection team to ensure the generation of high-quality data for design verification purposes.
- Guide the product development team toward addressing high-impact tasks and pain points within the design verification process.
- Act as a liaison between the company and our customers, providing support and addressing their needs and concerns.
- Promote cross-functional collaboration and maintain a versatile, adaptable mindset to address a wide array of design verification challenges and drive innovation.
Qualifications:
- Bachelor's or Master's degree in Electrical Engineering or related field.
- 5+ years of hands-on experience in ASIC design verification.
- Expertise in test planning and UVM.
- Proficiency in scripting languages such as Python, Perl, or Tcl.
- Strong problem-solving skills with an out-of-the-box mindset.
- Experience in chip design verification methodologies and infrastructure is highly desirable.
- Background in formal verification and machine learning algorithms is a plus.
- Strong leadership, communication, and cross-functional collaboration skills.
Why Join Us?
As a young startup funded by top VCs in Silicon Valley, this is a unique opportunity that you can’t really get anywhere else:
- Personal impact — The opportunity to build something from the ground up and define a new product for an industry that is at the core of the modern technological revolution.
- Access to unique learning opportunities — With the Allen Institute for AI (AI2) as a co-founder, our team gets access to numerous talks by leading AI researchers/paper authors, knowledge sharing amongst the community of hundreds of engineers working for AI2 companies, and much more. As a part of the multi-disciplinary team, you get to interact with people from very different backgrounds (from chip design to AI to software engineers).
- Founding title — You will be one of our first hires. For the rest of our days, no matter how many thousands of people join after you, you will always have that honor and distinction.
- Early-stage equity — Early-stage risk comes with early-stage equity for you. And none of us would be here if we didn’t think our company would create tremendous value over time.
- Benefits — In spite of being an early-stage company, taking care of our team is a priority for us. From health insurance to catered lunches, we continue to add unique benefits.
What We Do
We help entrepreneurs form new teams and build AI-first startups.
We bring together world-class engineers, researchers, and entrepreneurs to create new companies together from scratch. We help them come up with ideas, find co-founders, engage pilot customers, define their product, incorporate the latest A.I. techniques into their technology, and raise millions of dollars in venture funding.
Over the last six years, we have created 20+ companies that are collectively worth $750M+ in valuation, have collectively raised $150M+ in venture funding, and have collectively created 500+ jobs. Even more impressively, more than half of that growth occurred in the last year.
But beneath those numbers, the missions of those companies are even more important. These startups are helping immigrants to improve their communication skills (Yoodli), helping scientists to significantly accelerate cancer research (Ozette and Modulus), helping A.I. practitioners monitor critical algorithms in the wild (WhyLabs), helping business ops and legal teams to be much more efficient (Lexion), helping millions of creators to more easily produce voice content (WellSaid), turning your smartphone into a powerful medical device (MeasureLabs), and so much more.
Our unique advantages come from our core team's expertise and our exclusive partnership with the Paul Allen Institute for A.I. (aka "AI2"). Created in 2014 by Microsoft cofounder Paul Allen, AI2 has 200+ PhDs, researchers, engineers, professors, and support staff—and is well known for its contributions to the A.I. research community including 600+ papers, 20+ best paper awards, and numerous products/open source offerings including SemanticScholar, AllenNLP, and more.
