- Location
- San Jose, California, United States
- Employment
- Full time
- Level
- Mid level
- Posted
- 3 months ago
About this role
About ChipAgents
ChipAgents is redefining the future of chip design and verification with agentic AI workflows. Our platform leverages cutting-edge generative AI to assist engineers in RTL design, simulation, and verification, dramatically accelerating chip development. Founded by experts in AI and semiconductor engineering, we partner with top semiconductor firms, cloud providers, and innovative startups to build intelligent AI agents. The company is a Series A company backed by tier-1 VC firms. ChipAgents is deployed in production to companies that have shipped 16B chips.
Position Overview
We are seeking Research Scientists with deep expertise in AI and machine learning to pioneer the next generation of AI-assisted electronic design automation. In this role, you'll conduct research that directly impacts chip designers, working at the intersection of cutting-edge AI and real-world semiconductor workflows. You'll train and deploy large language models at scale, architect intelligent agent systems, and transform research breakthroughs into production-ready tools used by leading hardware companies.
Key Responsibilities
Conduct research in AI-assisted EDA, focusing on practical solutions that accelerate chip design and verification workflows.
Train and deploy large language models using substantial compute resources, optimizing for both performance and real-world applicability.
Design, build, and benchmark agentic AI systems using state-of-the-art LLMs and proprietary in-house models.
Translate research innovations into production-ready features that integrate seamlessly into hardware engineering workflows.
Collaborate with cross-functional teams to identify high-impact research directions based on customer needs and field deployment learnings.
Publish findings and contribute to the broader AI and EDA research communities where appropriate.
Qualifications
Degree in Computer Science, Machine Learning, Electrical Engineering, or a related field (or equivalent research experience).
Strong background in large language models, deep learning, and modern ML frameworks (e.g., PyTorch, JAX).
Experience with AI agent architectures, autonomous systems, or multi-agent workflows.
Familiarity with electronic design automation (EDA) tools, RTL design, or hardware-software co-design is a strong plus.
Strong programming skills in Python and experience with large-scale model training infrastructure.
Ability to balance research rigor with pragmatic engineering to deliver real-world impact.
Why Join Us
Shape the future of how AI accelerates chip design and verification.
Work directly with the world's leading semiconductor and AI hardware companies.
Access to significant compute resources and real-world deployment opportunities for your research.
Be part of a high-impact, mission-driven team backed by tier-1 VC firms.
What we offer
$150K/yr - $350K/yr + Offers Equity. We are open to discuss above-scale compensation with exceptional candidates on a case-by-case basis.
Unlimited PTO and full benefits (medical, vision, dental, 401k).
Two engineering-centric offices with free parking, private gym, and free lunch, drinks and snacks.
As published by ChipAgents. Applications are handled on their site.
Skills this posting mentions
About ChipAgents
ChipAgents is revolutionizing the chip design and verification process with agentic AI tools tailored for the semiconductor industry. Our flagship product, ChipAgents, leverages advanced AI agents to streamline and enhance the design, debugging, and verification of RTL (Register Transfer Level) code, accelerating time-to-market for chip developers. We are committed to empowering hardware design and verification engineers by providing cutting-edge solutions that improve efficiency, scalability, and accuracy in chip development. Based in Santa Barbara, CA, Alpha Design AI is at the forefront of AI innovation in electronic design automation (EDA).
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Paste your career in once. Every application after that is written for you.
Drop a resume or a LinkedIn URL. I rank the live openings against it, rewrite the resume and write a cover letter for the best of them, and fill in the employer's form when you press the button. You read, you decide what goes out.
01Drop your resume
A PDF or a LinkedIn URL. About a minute, once.
02I rank the openings
Every weekday morning, the live catalog scored against your history. Up to 20 worth your time, not two hundred links.
03Each one is written up
Resume rewritten for the posting, a cover letter, a fit score. Press send, or let me fill in the form.
- New matches ranked and written before you are up.
- Every bullet stays inside what your history supports. Nothing invented.
- Queued, submitted, interviewing, offer: one screen, not a spreadsheet.
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