Quantum Scientist, Government Programs (QEC)
Riverlane - College Park, MD
Hiring: Quantum Scientist, Government Programs (QEC) Company: Riverlane Location: College Park, MD Job Posted Time: 2026-09-17 09:30:51 Employment Type: Full-time / Hybrid Target Skills & Keywords : C++, GDPR, Python, R, Security Clearance About the job Required Skills: •Be supported by senior colleagues in Maryland and in the UK, and joining a new office early means unusual scope to grow with the team and the programs. •In this role, you will •Contribute hands-on research to government-funded programs in quantum error correction, including simulation, data analysis and performance evaluation •Support delivery against program milestones, including technical reports and updates for government sponsors •Interface directly with partners across the US with varied qubit architectures to design and execute quantum computing experiments, using Riverlane's software and hardware products •Actively facilitate and support deployment of quantum applications and QEC-related solutions into partner environments •Investigate experimental results, diagnose issues, and work with internal research and product teams to resolve them •Contribute technical content to funding proposals Qualifications: •Operational familiarity with one or more qubit architectures and their QEC considerations •Strong software skills (for example Python or C++) and experience with large-scale simulation or data analysis •What Can You Expect From Us •A comprehensive benefits package that includes an annual bonus plan, private medical insurance, life insurance, and 401K contributions •Equity, so that our team can share in the long-term success of Riverlane •Generous paid time off and enhanced family leave •A diverse work environment that brings together experts in many fields (including software and hardware development, quantum information theory, physics and math) and over 20 different nationalities •A learning environment that encourages individual, team and company growth and development, including a regular program of learning events and training and conference budgets •Please upload your resume and covering letter by clicking 'Apply'. Your covering letter should explain why you are applying for the job and what skills and experience you can bring to the role. •We review CVs as we receive them and interview as soon as we have applications that look like a good match. We do not use closing dates. So, please apply as soon as possible to avoid missing out on this role. Compensation: •$120,000 - $175,000 / year •Competitive benefits and rewards package •A comprehensive benefits package that includes an annual bonus plan, private medical insurance, life insurance, and 401K contributions Interested candidates, please apply directly through the job posting on company's career page or try via AI auto apply on this platform. Don't miss this opportunity to join a forward-thinking team!