Engineering
Ricursive Intelligence is a frontier AI lab building self-improving systems, starting with chip design. We are reinventing chip development and closing the loop between AI and the hardware that fuels it, recursively accelerating the path to artificial superintelligence. Backed by $335M from Sequoia, Lightspeed, DST, and NVIDIA Ventures, we are a growing, fast-paced team where every hire shapes the work.
The company has unmatched talent density, including IMO, IPHO, and IOAA gold medalists, pioneers who made prior breakthroughs in chip design: AlphaChip (Nature 2021), ePlace (DAC Best Paper Nominee 2014), RL-CCD (DAC Best Paper 2023), INSTA (DAC Best Paper 2025), and C3PO (ASP-DAC Best Paper 2026), chip leads for Apple Silicon (multiple generations of iPhone and iPad) and Google (TPU, OpenTitan), and top researchers and engineers from Anthropic, Google DeepMind, Stanford, and MIT.
ABOUT THE ROLE
Ricursive's research runs on infrastructure that has to keep pace with the research itself: ML training and evaluation workloads, EDA tool flows, and a fast-growing team that needs everything from cloud environments to developer workflows to just work. This role owns that foundation — the pipelines, platforms, and systems that let a small team move like a much larger one.
You will own our infrastructure-as-code (IaC), continuous integration & deployment (CI/CD), and cloud platform end-to-end that keeps the lab running day to day. Additionally, you will be collaborating closely with the team to build out the right observability stack for their needs while working around environmen