Head of AI
We are looking for a Head of AI who will lead our AI engineering team and personally build the core systems that generate and optimize chip designs. This is a hands-on technical leadership role—you will write code, train models, and set the technical direction for AI-powered hardware design.
In this role, you will own everything AI: the RTL generation models that write Verilog, self-verification loop and optimization and domain space explorations that makes our AI get better with every cycle. You will build a world-class team while staying deeply technical. This is a founding leadership position with a path to Chief AI Officer as we scale.
What You Will Do
- Set AI Technical Vision: Define the architecture and roadmap for our AI systems. You will make the critical decisions on model architecture, training strategy, and system design that determine our technical trajectory.
- Build RTL Generation Systems: Lead development of LLMs that generate production-quality Verilog/SystemVerilog. You will personally architect the systems that transform specifications into silicon-ready designs.
- Develop optimization and design space exploration loop: Own the feedback system where verification results improve model efficacy. You will design the architecture that enables our AI to learn all the designs that are generated, fixed and optimized.
- Lead Document Understanding: Build systems that parse architecture specs, design documents, and protocol definitions into structured representations our models can use.
- Hire and Develop the Team: Build the AI engineering team to a large team over the next three years. You will recruit top talent, set technical standards, and mentor engineers.
- Partner with Chip Design: Work closely with our chip design and verification engineers to ensure AI-generated designs meet production quality standards. You will bridge the gap between AI and hardware.
- Drive Research Agenda: Identify and pursue research directions that advance our capabilities. You will keep us at the frontier of AI for hardware design.
What You Bring(Required)
- AI/ML Leadership: 8+ years of experience in ML/AI, with years of experience in leading teams. Shipped production AI systems that handle real-world complexity.
- LLM Expertise: Deep hands-on experience with large language models—dataset creation, training, fine-tuning, and deployment. Understand transformer architectures, scaling laws, and the practical challenges of production LLM systems.
- AI Agents and Code Generation: Worked on AI agents and code generation, program synthesis, or compiler systems.
- Hands-on: Experience building AI agent systems, with proficiency in Python and PyTorch.
- Team Building: Hired and developed AI engineers. You can identify exceptional talent and create an environment where they do their best work.
- Systems Thinking: Design systems that integrate models with infrastructure, data pipelines, and user workflows.
Bonus Points(Preferred)
- Previous leadership role at a top AI labs or AI-focused startup.
- Background in reinforcement learning, especially learning from feedback or verification and PPA signals.
- Experience with document understanding, RAG systems, or structured information extraction.
- MS or PhD in Computer Science, Machine Learning, or related field.
Why Join Us
We are in the midst of a massive AI infrastructure build-up requiring ways to design chips rapidly and efficiently—yet chip design methodology has not kept pace with growing complexity, and the talent pool is aging.
- Shape the future of chip design by building "tools that build the chips"
- Work at the intersection of AI, automation, and silicon design
- Your software will multiply the productivity of entire engineering organizations
- Join a team that values software best practices applied to the hardware domain