About the Role
Own the technical success of their 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
Requirements
2+ years of 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).
About the Company
This company is reinventing semiconductor with founders that are the leading experts in AI and chip design and are working with top-20 semiconductor companies, major cloud providers, and next-generation hardware startups. Their design and verification are performed through agentic AI workflows and their AI-powered platform accelerates RTL design, verification, and simulation, enabling engineers to achieve unprecedented productivity and correctness.
This is a chance to work at the frontier of AI and semiconductor design and to collaborate with a world-class team spanning AI, systems, and EDA. Your work will help shape a foundational shift in how chips are built.