- We're looking for intellectually curious software engineers who want to grow alongside supportive, like-minded colleagues in an R&D-driven environment. No domain background required; you'll learn it from some of the best people in the field.
- Key Responsibilities
- What You’ll Be Doing
Own, maintain, and improve data-intensive Python services and applications, mostly backend, sometimes full stack
Work directly with internal customers, including quantum engineers and fab engineers, to understand what they actually need and turn it into scalable, sustainable software
Keep data trustworthy as systems evolve: schema migrations, compatibility across clients, testing, CI
Measure and improve performance of user-facing workflows and the observability of the platforms behind them
Help scientists and engineers outside the software team use AI coding agents safely and sustainably by building the frameworks, guardrails, and patterns that make that possible
Keep users informed on priorities and roadmap
- Mentor and collaborate with other engineers on the team
- Qualifications
- What You Bring
Strong Python, with experience building and running production backend or serving systems
Experience working in large, evolving codebases, and the judgment to improve them without slowing down the people who depend on them
Working knowledge of SQL and relational databases; PostgreSQL a plus
Experience with AWS and a typical cloud stack (Kubernetes, Kafka, Postgres, Grafana or equivalents)
A track record of working cross-functionally with scientists or other deeply technical peers, and genuine enjoyment of helping them do their best work, especially as requirements change with the science
Product instinct and independence: you can sit down with a user, understand the underlying problem, define what to build, and drive it forward without close supervision
Curiosity regarding quantum computing and what Rigetti is building
Nice to Have
Scientific computing, data-science, or AI/ML tooling backgrounds
HPC, national lab, semiconductor, or other hardware-forward R&D environments
DevOps, SRE, or cloud engineering
Frontend or data visualization experience, including building tools that help scientists explore and understand their data
Physics, math, or quantum background of any depth is a plus, but not a requirement
