Full-Stack AI Engineer
ChipAgents · San Jose, United States ·
- Work mode
- Onsite
- Category
- Fullstack
- Visa sponsorship
- Yes
- Company size
- 51-200
- Salary
- USD 150,000 – 350,000 / year
ChipAgents · San Jose, United States ·
stuut-ai · San Francisco
Baseten · San Francisco
1x · San Carlos, CA
coworker · San Francisco or Atlanta Office
Build and deploy full-stack AI systems that automate chip design workflows using generative models and agentic AI, working directly with customers to integrate solutions.
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.
We are looking for multiple Full-Stack AI Engineers with a strong Computer Science foundation to work closely with engineering teams at some of the world's leading chip companies. You'll be part of a cross-functional mission to create forward-looking agentic AI technologies, help customers integrate ChipAgents into their workflows, deliver real-world impact, and continuously improve our agentic AI platform based on field feedback. This is a deeply technical, customer-facing role ideal for someone excited to get out of the lab, visit customers, and solve practical problems with real usage data.
Own the technical success of ChipAgents deployments from start to finish: onboarding, integration, scaling, and feedback.
Interface directly with customer engineering teams to understand their workflows and identify high-leverage opportunities for AI automation.
Prototype and refine full-stack solutions—from backend models to frontend experiences—that embed agentic AI into EDA workflows.
Collaborate with our core engineering team to improve models, tooling, and infrastructure based on field insights.
Create internal and customer-facing resources (docs, tutorials, dashboards) that scale our support and enable rapid adoption.
Stay hands-on with code: contribute to infrastructure, prompt engineering, workflow orchestration, and feedback-driven improvement.
B.S. or M.S. in Computer Science or a related field.
Experience building full-stack software, with strong fundamentals in software engineering and machine learning.
Familiarity with modern ML workflows (e.g., Python, PyTorch, LLMs, etc.) and frontend development tools (e.g., TypeScript, JavaScript).
Interest in electronic design automation (EDA), RTL, or hardware-software co-design (prior exposure is a plus, but not required).
Excellent communication skills and comfort working directly with customer engineering teams.
Willingness to travel for on-site customer visits and deep integration work.
A self-starter who thrives in a fast-paced, mission-driven startup environment.
Shape the future of how AI accelerates chip design and verification.
Work directly with the world's leading semiconductor and AI hardware companies.
Be part of a high-impact, mission-driven team.
$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.
TeamViewer · Austin, US