Quantum Research Engineer
Reading, Berkshire, RG1, England, UK
Listed on 2026-02-13
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Engineering
AI Engineer, Systems Engineer, Research Scientist, Electrical Engineering
Location:
Reading, United Kingdom In fast changing markets, customers worldwide rely on Thales. Thales is a business where brilliant people from all over the world come together to share ideas and inspire each other. In aerospace, transportation, defence, security and space, our architects design innovative solutions that make our tomorrow's possible. Together we offer fantastic opportunities for committed employees to learn and develop their career with us.
At Thales UK, we research, develop, and supply technology and services that impact the lives of millions of people each day to make life better, and keep us safer. We innovate across the major industries of Aerospace, Defence, Security and Space. Your health and well-being matters to us and that’s why we offer you the flexibility to do what’s important to you;
whether that’s part time hours, job sharing, home working, or the ability to flex your start and finish times. Where possible, we support a working pattern that suits your lifestyle and helps you reach your ambitions.
Location:
Reading, full-time hybrid working with 3 days in the office plus travel
Join Thales and be at the forefront of specialising in sensing and algorithm project related work, where you'll work towards ensuring the real-world exploitation of quantum technologies including novel sensors, communications and computing.
What the role has to offerOpportunity to design cutting-edge quantum algorithms, advance pioneering research exploiting quantum principles, and deliver revolutionary, real-world solutions for a diverse range of clients
Collaborate with Thales’ global quantum network across research, industry, academia, and government to drive innovation and deliver impactful, revolutionary technologies
Act as subject matter expert, and contribute to planning of future research activities, helping to identify and formulate proposals for funding opportunities
In this role you will dive into cutting-edge, low-TRL (Technology Readiness Level) research and development focused on the revolutionary field of quantum technologies - spanning sensing, communications, algorithms, and computing. Collaborating with a small but dynamic team to push the boundaries of what's possible, you will contribute to pioneering research, exploiting emerging novel technology for real-world benefit, and crafting compelling bids for external funding.
By working closely with external technology partners, you'll help shape a strategic roadmap that brings quantum technologies from concept to real-world applications across diverse business use cases. This is your chance to be part of a visionary journey that will redefine the future of technology at Thales.
We offer a competitive salary and benefits package designed to support our employees’ wellbeing and professional growth, which includes:
Performance related annual bonus (VCP)
Pension – match like-for-like up to 7% of annual base salary
Life Assurance – 2 x base salary minimum (8 x salary if part of the pension scheme)
Income Protection – 50% of salary less state benefits for 5 years
Annual Leave – 201 hours, bank holidays, plus 1 company day
Private Medical Insurance - Couples cover
Half day every Friday, usually finishing around 1:00pm
24/7 Employee Assistance Programme
24 hours paid leave for volunteering activities
Access to flexible benefits and discounts – dental insurance, buying & selling annual leave, cycle to work, and many more
Collaborate effectively within research teams while also working independently with flexibility to explore new areas and adapt to diverse working styles
Identify and evaluate quantum technology use cases across Thales, assessing feasibility and potential integration into future products and services
Develop proof-of-concept demonstrators and contribute to technical roadmaps for quantum algorithms and software evolution
Lead proposal development for external funding opportunities and mentor graduate researchers, including PhDs and interns
Design, develop, and implement algorithms across domains such as Big Data, optimization, cryptography, decision…
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