Principal Engineer, QEC Open-Source Software Lead at Riverlane
Cambridge, England, United Kingdom -
Full Time


Start Date

Immediate

Expiry Date

10 May, 25

Salary

145000.0

Posted On

10 Feb, 25

Experience

0 year(s) or above

Remote Job

No

Telecommute

No

Sponsor Visa

No

Skills

Good communication skills

Industry

Computer Software/Engineering

Description

Cambridge, UK | Full-time | Permanent | Hybrid
Salary: £120,000 - £145,000 GBP, DOE
Please note that we are also able to consider this role from Seattle, USA. Please see our separate, Seattle, USA job posting for more details.

ABOUT US

Riverlane’s mission is to make quantum computing useful, sooner. From advances in material science to complex chemistry simulation for drug design and discovery, quantum computers will help solve some of the world’s most important challenges. Riverlane is building the quantum error correction stack, Deltaflow, to make this happen. It’s a complex problem that requires a range of skills, talent and passion.
We recently raised $75M in Series C funding to accelerate our cutting-edge R&D in quantum error correction (QEC), and are partnering with many of the world’s leading quantum hardware providers and government agencies to make fault-tolerant quantum computing a reality. We’re making remarkable progress and growing fast.

WHAT WE NEED

  • Experience in one or more quantum software projects, such as: Stim, Cirq, Qiskit, and/or QASM.
  • Significant experience with quantum computing, especially the ability to develop software to compile quantum circuits.
  • Knowledge of QEC protocols and their implementation in practice.
  • Proficiency in Python.
  • Demonstrated leadership ability, and ambition to enable the QEC user community with useful tools.
  • Strong written and oral communication skills, with the ability to discuss complex ideas with a variety of audiences, in a clear and simple way.
  • A passion for learning and a curious mindset.
Responsibilities

ABOUT THE ROLE

As quantum computing enters a new phase—the ‘QEC era’— marked by significant advancements in quantum error correction, it presents new technical challenges and a growing need to empower the next generation of learners and innovators.
Riverlane has committed to leading the QEC community into fault-tolerant quantum computing by making a substantial investment in a new open-source tools strategy, complemented by scalable education and enablement. We aim to accelerate advances in QEC research by building out Riverlane’s open-source software (OSS) library and developer APIs to provide critical tools for QEC workflows, such as logical circuit generation, simulation, decoding and noise modelling. As Riverlane integrates Deltaflow QEC data streaming capabilities into QPU providers, the community will need to upskill to prepare for working with logical qubits and error corrected systems.
Today, QEC research is dominated by three software tools: Stim, PyMatching, and BP-OSD. Various combinations of these allow rapid simulation of QEC protocols, particularly for variants of the surface code. In this role, you will lead the development of new software tools to contribute to this ecosystem, based on learnings from Riverlane’s world-class QEC science mission.

WHAT YOU WILL DO

The QEC Open-Source Software Lead will take on responsibility for technical and engineering leadership of a small team of engineers to rapidly build and iterate on the software tooling needs of the QEC user community. This high-impact role is an outstanding opportunity to build 0->1 software products that will empower the next generation of learners and innovators in QEC.

In this role, you will:

  • Develop open source and developer API strategy for QEC experiment workflows and decoders.
  • Build an SDK for quantum error correction by gathering requirements from researchers to identify required features and transition research code to open source.
  • Manage open-source community efforts, including issue triage, code review, and support.
  • Champion a culture where Riverlane can support publishing new research with code examples to accelerate the field.
Loading...