LLM Infrastructure Engineer
Ricursive Intelligence
LLM Infrastructure Engineer
Ricursive Intelligence
Full-stack AI-driven chip design platform
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 interested in best-in-class engineers to focus on a variety of challenges relating to scaling, low-level optimization, and core infrastructure for LLM training and inference.
Full-stack AI-driven chip design platform
Ricursive Intelligence builds a full-stack platform that uses AI to design next-generation computer chips and then uses those improved chips to train even better AI models in a recursive loop. The system creates a feedback cycle where AI-driven hardware design and software development reinforce each other, speeding up chip development from years to weeks. It differentiates itself by offering end-to-end hardware-software co-design with a focus on recursive self-improvement, not just one-off design tools. The goal is to move toward a designless semiconductor model where clients specify workload needs and Ricursive delivers a ready-to-manufacture chip design optimized for those workloads.
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