We develop frontier AI methods to reinvent chip development, collapsing traditional design timelines, closing the loop between AI and the hardware that fuels it, and enabling a Cambrian explosion of custom silicon. Backed by Lightspeed, Sequoia and Felicis.
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. Found on 1752vc Careers, the job board for startup and VC roles.
What they're looking for
- BS in CS, CE, EE, or a closely related technical field, or equivalent practical experience
- 4+ years of hands-on infrastructure/platform engineering, with ownership of systems others depend on
- Owned production IaC architecture including maintenance and new features, not just consumed modules
- Designed and implemented production CI/CD pipelines that build and ship reproducible artifacts, with attention to performance, scalability, and security
- Prior experience with observability tooling for monitoring pipeline health as well as application-level metrics
- Hands-on experience with GCP, Kubernetes, and GitHub Actions, including custom runner setups
More about this role
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.
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,...
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