LLM Infra Engineer
Ricursive IntelligenceThis engineer works on the infrastructure behind LLM training and inference, with a focus on scaling and low-level optimization. The work supports Ricursive’s efforts to build AI systems and models.
Skills & Expertise
Key Responsibilities
Build core infrastructure for LLM training and inference.
Optimize systems at a low level to support scaling.
Address infrastructure challenges across LLM workloads.
Full Description
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.