LLM Infra Engineer
Join Ricursive Intelligence to tackle challenges in scaling and optimization for LLM training and inference.
Posted by employer 7 months ago
First seen on Joblaze 1 week ago
Last verified on the company career page 1 day ago
Skills & Technologies
AI in the day-to-day
We are focused on building self-improving systems, starting with chip design.
Not disclosed in this posting: compensation, seniority, years of experience, work arrangement, visa sponsorship.
Joblaze summary
In this role, the LLM Infra Engineer will tackle challenges related to scaling and optimizing low-level infrastructure for large language model training and inference. Proficiency in systems engineering, performance optimization, and an understanding of AI hardware are crucial for success. This position is ideal for experienced engineers with a strong background in AI and infrastructure development. Ricursive Intelligence, a pioneering AI lab, is focused on innovative chip design, making it an exciting environment for those looking to push the boundaries of technology.
Joblaze insights
- Listed 9 days ago on Joblaze — tracked directly from Ricursive Intelligence's career page.
- Ricursive Intelligence has 12 other open roles including Software Engineer, Chip Design, Chip Design Engineer, RTL and Design Verification Engineer.
- 5136 active AI/ML roles on Joblaze right now.
- Typical AI/ML salary we track runs $140,000–$231,000 (median $180,000, across 2232 roles). See AI/ML salary trends
Quick facts
- What's the tech stack?
- Joblaze extracted these technologies from the posting: AI/ML.
From the original posting
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 small and 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 (iPhone, iPad, M1) 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.
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