Member of Technical Staff - SWE Infrastructure

Ricursive Intelligence

10-100 employees, Series A
Location: Palo Alto, California, United States · Palo Alto
Salary Range: Salary range USD 140,000 - 250,000 / year
Source: Lightspeed
Posted: Aug 07, 2026
Found: Oct 15, 2026

Job Description

From Ricursive Intelligence's job board on Ashby.

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 seeking a Software Engineer - Infrastructure (5+ years experience) to lead the productization and reliability of our core systems. You will architect the productization of AI research on Chip Design.

We need a hands-on engineer with deep expertise in production-grade systems and integration and deployment (e.g., CI/CD). You will own the full development lifecycle, from regression testing frameworks to cloud-scale infrastructure, ensuring our systems are reliable, reproducible, and performant.

Focus: Integration and Deployment, Regression Testing, Quality Control, Automated Deployment, Distributed Systems, Cloud Infrastructure.

Preferred Qualifications:

  • 7+ years of infrastructure engineering experience.

  • Experience with large-scale cloud infrastructure.

Skills & Keywords

Research, Artificial Intelligence, Cross-functional Team Leadership, Infrastructure
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