AI · NVIDIA
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.
We are looking for the very best post-training researchers and engineers in the world.
A small team trained Ripple-65B Preview https://www.ricursive.com/ripple from scratch and set a new U.S. open-weight state-of-the-art on agentic coding (80.5 on TerminalBench 2.1), outperforming U.S. open-weight models up to 15x larger at one-tenth the cost of the previous open-weight SOTA. We built our own synthetic data pipelines instead of buying post-training data, and reached state-of-the-art with 1.4M rollouts, roughly 70x fewer than the prior SOTA.
You will contribute to core pieces of post-training, from synthetic data to RL environments to evaluation, and your work will show up directly in the mode