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Cambridge, UK | Full-time | Permanent | Hybrid Salary: £60,000 to £70,000, DOE + Bonus + Benefits We will also consider part-time applications for this role. Please indicate your preferred working schedule in your cover letter. About us Riverlane’s mission is to master quantum error correction (QEC) and unlock a new age of human progress. From advances in material and...
Senior Quantum Error Correction (QEC) ResearcherBoston, MA, US | Full-time | Permanent | Hybrid Salary: $145,000 to $240,000 DOE [If applicable: The salary range for this role is broad, as we are able to consider varying levels of experience. Any offer made will carefully take into account level of experience (including relevant industry experience), transferable relevant skills and previous relevant...
Cambridge, UK | Full-time | Permanent | Hybrid Salary: £72,000 to £140,000, DOE + Bonus + Benefits The salary range for this role is broad, as we are able to consider varying levels of experience. Any offer made will carefully take into account level of experience (including relevant industry experience), transferable relevant skills and previous relevant achievements. We will also ...
NEW ASSOCIATE QUALITY ENGINEER JOB IN CORBY. My client is a global leader in delivering high-performance solutions for quantum computing, scientific research, and medical applications, where precision, reliability, and innovation are paramount. They are seeking an Associate Quality Engineer to join their Quality team and support the delivery of high-quality products in a fast-paced manufacturing environment. This is an excellent...
QEC Applications ScientistBoston, MA, US | Full-time | Permanent | Hybrid Salary: $135,000 to $158,000 DOE The salary range for this role is broad, as we are able to consider varying levels of experience. Any offer made will carefully take into account level of experience (including relevant industry experience), transferable relevant skills and previous relevant achievements. We will also consider...
Cambridge, UK | Full-time or Part-time | Permanent | Hybrid Salary: £62,000 to £75,000, DOE We will also consider part-time applications for this role. Please indicate your preferred working schedule in your cover letter. About us Riverlane’s mission is to master quantum error correction (QEC) and unlock a new age of human progress. From advances in material and climate science,...
Advance your Quantum career with expert advice, practical job search tips, and insightful industry guides.
Quantum computing is one of the fastest-evolving fields in technology, blending physics, mathematics, computer science and engineering. Roles in this space — from Quantum Algorithm Developer and Quantum Software Engineer to Quantum Research Scientist and Quantum Hardware Specialist — are highly sought after, and hiring managers are exceptionally selective. Because quantum computing is complex and multidisciplinary, recruiters and hiring managers look for clear, concrete evidence of relevant expertise and impact right at the start of your application. They often decide whether to read your CV in detail within the first 10–20 seconds, based on a handful of high-value signals. This guide breaks down exactly what hiring managers look for first in quantum computing applications, how they assess CVs and portfolios, and what you can do to optimise your application to get noticed in the UK quantum job market.
If you’re looking for Riverlane jobs in quantum computing, you’re aiming at one of the most important layers in the quantum stack: quantum error correction (QEC). In simple terms, Riverlane focuses on the software, methods & tooling that help quantum computers produce reliable results despite noise. That matters because as quantum hardware scales, the ability to correct errors becomes the difference between “interesting experiments” and “useful quantum computing”. This guide is written for UK job seekers who want to understand: what Riverlane does (in job-seeker language) the roles they hire for the skills that map best to their work how to tailor your CV & LinkedIn how to prepare for interviews how to find & land Riverlane vacancies in the UK You do not need to be a quantum PhD to have a realistic pathway in. But you do need to understand the problem they’re solving & position your experience around it.
Quantum computing stands at the frontier of technological innovation. Promising breakthroughs in areas as diverse as cryptography, materials discovery, optimisation and machine learning, quantum technologies are shifting from academic research to early commercial deployment. Governments, defence organisations, finance firms and tech innovators around the world — including in the UK — are investing heavily in quantum talent and capability. Yet despite this surge in interest and investment, employers consistently report a troubling trend: Many graduates with quantum computing qualifications are not prepared for real-world quantum computing jobs. This isn’t a reflection on students’ intelligence or effort. Rather, it reveals a persistent skills gap between what universities teach and what organisations actually need. In this article, we’ll explore that gap in depth — what universities do well, where programmes fall short, why the divide persists, what employers actually want, and how jobseekers can bridge that gap to build successful careers in quantum computing.
Quantum computing is exciting. Headlines about qubits, quantum advantage and futuristic breakthroughs can make it seem like the preserve of physicists in high-tech labs. But for career switchers in their 30s, 40s or 50s in the UK, the truth is both broader and more practical: there are real job opportunities connected to quantum computing that don’t require you to come straight out of a PhD programme. This article gives you a grounded UK-focused reality check on quantum computing jobs, what roles genuinely exist, which ones are suited to career switchers, what skills employers actually hire for, how long retraining realistically takes and how to position your experience for success. Whether you’re coming from IT, engineering, project management, research support, operations, compliance or even sales & communications — there are ways to pivot into this fast-growing field if you approach it strategically.
Quantum computing is no longer confined to university labs and research papers. UK companies are now actively hiring quantum software engineers, physicists, hardware specialists, cryptographers and commercial leads as the sector moves closer to real-world deployment. But while demand for quantum talent is rising, many employers are struggling to attract the right candidates. Roles attract either underqualified applicants who see “quantum” as a buzzword, or highly academic researchers who are a poor fit for commercial environments. The problem often isn’t the candidate pool — it’s the job advert. Writing a strong quantum job ad requires a very different approach to traditional tech hiring. Quantum professionals are highly specialised, sceptical of hype and acutely aware when an employer doesn’t truly understand the field. In this guide, we’ll break down how to write a quantum job ad that attracts the right people, filters out the wrong ones and positions your organisation as a serious, credible player in the quantum ecosystem.
If you are a software engineer, data scientist or ML engineer looking to move into quantum computing or you are a UK undergraduate or postgraduate in physics, maths, computer science or engineering applying for quantum roles, the maths can feel like the biggest barrier. Job descriptions often say “strong maths” but rarely spell out what that means in practice. The good news is you do not need a full maths degree’s worth of theory to start applying. For most graduate & early-career roles in quantum software, quantum research engineering & quantum algorithms, the maths you actually use again & again is concentrated in four areas: linear algebra, probability, complex numbers & basic optimisation. This guide turns vague requirements into a clear, job-focused checklist. You will learn what to focus on, what to leave for later & how to build small portfolio outputs that prove you can translate the maths into working code.
