Overview
About this role We are looking for a world-class ML leader to architect and own our AI roadmap. This is a foundational role that will work closely with the founders to define the technical trajectory across our platform, including code , reinforcement learning, layout optimization etc.
You'll lead a growing ML team and work cross-functionally to turn cutting-edge research into usable tools for chip engineers. You should bring deep expertise in ML for chip design, as well as leadership experience in high-performance engineering teams.
Responsibilities
- Contribute to building the ML roadmap and research strategy for Architect across RTL and PD domains.
- Architect and deploy novel agent-based systems, including fine-tuning models for RTL Code , physical design tasks automation and hardware problem reasoning.
- Lead, mentor, and scale a team of top-tier ML engineers. Guide research direction, implementation standards, and modeling infrastructure.
- Interface with hardware engineers to identify bottlenecks in chip design pipelines that ML can solve.
- Stay ahead of state-of-the-art techniques in ML4EDA, agent orchestration, and model compression/deployment.
Tech stack
Python, PyTorch, RL libraries, Transformers, MLOps, JavaScript, TypeScript, Linux, RTL Code , Physical Design Automation, Hardware Problem Reasoning, Agentic Systems, Fine-tuning Models, Multi-agent Orchestration, Reinforcement Learning
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