Research Software Developer
Deadline: Rolling recruitment

Cambridge, UK | Full-time | Permanent

About us

Riverlane is a research-led start-up that builds ground-breaking algorithms and software to unleash the predictive power of quantum computing. Backed by leading venture capital funds and the University of Cambridge, we work together with visionary chemical, pharmaceutical and materials companies to develop billion-dollar applications using quantum advantage.

You will join our cross-disciplinary team of software developers, mathematicians, quantum information theorists, computational chemists and computational physicists – all world experts in their fields. Our collaborative, close-knit team has a track record of delivering high-quality R&D across the full quantum stack. As an early stage start-up, you will have the freedom to think independently and creatively, as well as contribute to Riverlane’s business development.

We offer a competitive benefits package, including equity options, and will cover the cost of getting you to Cambridge.

About the role

You will join our research team, developing algorithms and research code at the intersection of innovative theory and practical implementation. Collaborating with end-users from academia and industry, your work will make quantum computers useful for real-world problems. You will have the opportunity to work across our product portfolio and will be able to contribute to and lead projects as appropriate, pursuing work which best matches your ability and interest whilst developing your knowledge and skills.

Knowledge of quantum computing is not required as training will be given.

What you will do

What we need

How to apply

Please upload a CV and covering letter. Your covering letter should explain why you are applying for the job and what skills and experience you can bring to the role.

If you have any queries, please contact

Everyone is welcome at Riverlane. We are an equal opportunities employer and encourage applications from eligible and suitably qualified candidates regardless of age, disability, ethnicity, gender, gender reassignment, religion or belief, sexual orientation, marital or civil partnership status, or pregnancy and maternity/paternity.

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