Quantum Computing

Specialist recruitment for quantum computing teams, spanning hardware, software, and sensing across research, engineering, and commercial environments.

Through our specialist networks and deep domain focus, DeepRec.ai is uniquely positioned to support organisations building the quantum future, and the people who want to be part of it.

As one of the most complex and talent-constrained areas of Deep Tech, Quantum Computing is experiencing intense demand for highly specialised engineers, researchers, and commercial leaders who can operate at the edge of theory and application.

DeepRec.ai’s consultants have the knowledge and networks to connect exceptional quantum computing talent with the best opportunities in deep tech.

Hire Quantum Computing Talent: 

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Find a Job in Quantum Computing:

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Why Choose DeepRec.ai for Quantum Computing Recruitment?

We’ve built a dedicated Quantum Computing recruitment division here at DeepRec.ai, where our specialised consultants focus exclusively on hiring niche talent across quantum hardware, software, and sensing. 

Across the quantum ecosystem, from platform development and applied research through to early commercialisation, hiring decisions are shaped by long research cycles, scarce skill sets, and close ties to academia.

Working at this intersection allows for informed, technically grounded conversations with candidates from physics, engineering, computer science, and applied mathematics backgrounds, ensuring alignment not just on capability, but on research direction and long-term ambition.

This work is supported by a global community network and on-the-ground presence in Boston, London, Berlin, Zurich, and Dublin, giving access to highly specialised talent across the wider Deep Tech space.

Quantum Computing Salary Guide

Interested in working or hiring in the Quantum Computing market? Explore our latest Quantum Computing salary benchmarks, built from DeepRec.ai’s engagements with candidates and clients across Europe and the United States: 

Global Quantum Salary Guide

Our Hiring Specialisms

Quantum Hardware

  • Quantum computing platforms (superconducting, photonic, neutral-atom, ion-trap)

  • Quantum devices, nanofabrication & integrated photonics

  • Quantum control, measurement & cryogenic systems

Quantum Software

  • Quantum control software, firmware & toolchains

  • Quantum algorithms, applications & benchmarking

  • Quantum-classical integration & compilers

Quantum Sensing

  • Quantum sensors & metrology (NV centres, atomic & photonic sensors)

  • Readout, signal processing & hardware-software integration

For Employers, This Means: 

Reduced hiring risk. Our domain expertise, talent mobility support, and in-house compliance team ensure only qualified, relevant candidates reach you, cutting wasted time and mismatched hires.

Flexible workforce solutions that scale with your demand. DeepRec.ai provides a range of options that we can tailor to your unique needs: Embedded, Retained, Contingent, and Contract hiring models.

We build a consultative partnership and take time to understand your business goals, culture, and technical roadmap before advising on the best hiring strategies to meet them. 

Rapid delivery. We fill permanent roles in an average of 30 days and contract positions in just one week, helping you avoid costly project delays.

For Candidates, This Means:

We can connect you with rare opportunities that never make it to the open market. Many of the best Quantum Computing jobs are secured through trusted networks long before they're advertised, and thanks to our position in the community, we can help you get a head start.

As part of Trinnovo Group, DeepRec.ai is B Corp certified. For quantum professionals, that means working with a recruitment partner that values responsibility, inclusion, and long-term relationships in a field built on depth and precision. 

We help you with more than introductions. From role positioning and salary benchmarks to interview prep and long-term planning, we’re here to support your growth and career ambitions.

We’re region-sensitive but globally connected. Offices in Boston, London, Berlin, Zurich, Dublin, and the USA make international opportunity accessible, while still being rooted in the local tech scenes you know best.

Hiring in Quantum Computing: Case Study

Find out how DeepRec.ai supported a global organisation to build out its leadership functions across research, engineering, and data, placing specialist talent in a highly competitive German market: 

Quantum Computing Case Study

A Deep Tech Community

Community sits at the heart of DeepRec.ai’s hiring philosophy. The networks, conversations, and connections built through DeepRec.ai don’t just lead to roles; they keep professionals and organisations close to the ideas, people, and breakthroughs shaping the future of Quantum Computing.

Whether we’re hosting breakfast networking events from our London office, podcasting with deep tech’s pioneering thinkers, or collaborating on research papers, there are plenty of ways to get engaged with the DeepRec.ai community.

Check out the Leadership Lab Podcast on Spotify: https://open.spotify.com/show/0MlqKerf6W10DZ4FdM2wqC

Stay up to date with our events programme: https://www.deeprec.ai/events

Read the latest community insights: https://www.deeprec.ai/blog

 

MEET THE TEAM

Anthony Kelly

Co-Founder & MD EU/UK

George Templeman

Senior Consultant

Edward Killin

Principal Recruitment Consultant

London, Greater London, South East, England
Machine Learning Research Engineer
Machine Learning Research Engineer Location: London (Hybrid) Job Type: Full-Time Salary: £80,000 - 100,000 We're partnering with an innovative deep-tech organisation developing next-generation computing technology and advanced AI solutions. As the company continues to expand its research capabilities, they're looking to appoint a Machine Learning Research Engineer to help drive the development of novel machine learning algorithms and applications. This is a rare opportunity to work on cutting-edge technology at the intersection of machine learning, advanced computing, and emerging hardware platforms, helping to solve complex real-world challenges for customers and partners worldwide.  The Opportunity As a Machine Learning Research Engineer, you'll develop and benchmark new machine learning approaches, with a particular focus on generative AI and advanced neural network architectures. You'll work alongside a multidisciplinary team of researchers and engineers, translating innovative ideas into practical solutions and customer-facing applications. Key ResponsibilitiesDevelop, test and benchmark advanced machine learning algorithms.Work with generative AI models including diffusion models, flow models and GANs. Design and evaluate novel hybrid machine learning architectures.Collaborate with customers and strategic partners to identify and solve complex technical challenges.Contribute to software products through the development of new algorithms, tools and examples. Support research activities through experimentation, analysis and publication of results. Contribute to the creation and protection of intellectual property arising from your work. Essential RequirementsProven experience developing and benchmarking machine learning algorithms. Hands-on experience with diffusion models, flow models and/or GANs. Strong programming skills in Python and PyTorch. Experience using version control systems such as Git. MSc or PhD in Computer Science, Machine Learning, Physics, Mathematics or a related discipline. Excellent communication skills and the ability to work effectively within multidisciplinary teams. Desirable ExperienceExperience working with advanced computing infrastructure including HPC, GPUs, NPUs, ASICs or other specialist hardware.Experience training and optimising multi-GPU models. Published research in machine learning or a related field. Experience working directly with customers or external stakeholders. An interest in or understanding of quantum computing technologies. What's On OfferThe opportunity to work on genuinely innovative technology at the forefront of AI and advanced computing.A collaborative environment alongside highly experienced researchers and engineers.Exposure to cutting-edge machine learning research and commercial applications.Competitive salary and benefits package.Hybrid working based in London.
Edward KillinEdward Killin
Michigan, United States
Senior Quantum Error Correction Theorist
SummarySeeking an experienced Technical Lead in Quantum Error Correction to drive the development of fault-tolerant quantum computing architectures. This role combines deep technical expertise with scientific leadership, guiding research direction, influencing system architecture, and collaborating across multidisciplinary teams. It is ideal for a senior researcher who wants to be a recognised technical leader without extensive people management responsibilities. ResponsibilitiesLead the development of quantum error correction strategies for fault-tolerant quantum computing.Design and optimise hardware-aware error correction protocols under realistic noise and system constraints.Develop simulation and modelling tools to support system design and technology decisions.Provide technical leadership and mentorship across multidisciplinary research teams.Collaborate with physicists, engineers, and computer scientists to translate theory into practical solutions.Influence technical roadmaps by evaluating emerging approaches and identifying new research opportunities.Contribute to scientific publications, technical strategy, and intellectual property. RequirementsPhD in Physics, Applied Physics, Computer Science, Electrical Engineering, or a related field.Extensive experience in quantum error correction, ideally within an industrial research environment.Proven track record of technical leadership in quantum computing research.Strong scientific programming and simulation skills.Experience leading cross-functional research projects.Excellent communication skills and the ability to influence technical direction.Desirable ExperienceExperience translating research into commercial technologies or product roadmaps.Hands-on experience implementing quantum error correction on quantum hardware.Expertise in quantum decoding and hardware-aware error correction protocols. BenefitsCompetitive salary and equity package.Visa sponsorship where applicable.Health and wellbeing benefits.Flexible paid time off.Opportunity to shape the future of fault-tolerant quantum computing within a collaborative, innovation-driven environment.
George TemplemanGeorge Templeman
Netherlands
Customer Success Team Lead
SummarySeeking an experienced Team Lead to manage and scale a technical customer success team supporting advanced hardware and software technologies. The role combines leadership, operational excellence, customer success strategy, and cross-functional collaboration to deliver exceptional customer experiences while driving continuous process improvement and service scalability. ResponsibilitiesLead, mentor, and develop a high-performing team of technical customer success engineers.Design, implement, and improve scalable customer success processes and service models.Develop and maintain standard operating procedures, playbooks, and operational best practices.Oversee the customer lifecycle, including onboarding, training, ongoing support, and customer engagement.Ensure timely resolution of complex technical issues involving hardware and software products.Act as the voice of the customer by gathering feedback and communicating product improvements to engineering and product teams.Collaborate with sales, engineering, and product teams to align customer priorities and support product development.Support operational growth across multiple regions while promoting consistent global standards. RequirementsSignificant experience leading customer success, technical support, or customer engineering teams.Proven ability to build, manage, and scale high-performing technical teams.Experience supporting complex hardware and software products.Background in designing and implementing customer service models, service packages, or service level agreements (SLAs).Experience working in fast-paced start-up or scale-up environments, with an understanding of organisational growth.Strong leadership, coaching, communication, and stakeholder management skills.Ability to develop structured processes and drive operational excellence.Experience with high-performance computing (HPC), data centre technologies, or quantum technologies is advantageous. BenefitsOpportunity to lead and shape a growing technical customer success function.Work with cutting-edge deep technology in a collaborative environment.Career development within a rapidly growing, innovation-focused organisation.Exposure to international customers and cross-functional teams.Competitive salary and benefits package.
George TemplemanGeorge Templeman
Paris, Ile De France, France
Quantum Information Scientist
Researcher – Theoretical Quantum Optics and Quantum InformationSeeking a theoretical researcher to develop quantum optics and quantum information approaches for advanced spectroscopy applications. The role focuses on designing novel quantum protocols, performing theoretical analysis, and collaborating with experimental and interdisciplinary research teams to advance next-generation quantum-enabled sensing technologies. ResponsibilitiesDevelop theoretical quantum protocols using discrete-variable and continuous-variable quantum systems, including non-Gaussian states.Perform theoretical modelling, calculations, and literature reviews to support research objectives.Collaborate closely with experimental researchers to align theoretical developments with practical implementation.Work with external academic collaborators on cutting-edge quantum research.Contribute to the development of new theoretical approaches for quantum-enhanced spectroscopy.Publish high-quality scientific research and support knowledge dissemination. RequirementsPhD in Quantum Information, Quantum Optics, or a closely related field with a strong theoretical focus.Postdoctoral research experience is desirable but not essential.Strong background in theoretical quantum optics and quantum information.Experience with quantum state modelling, including discrete-variable and continuous-variable systems.Excellent analytical, problem-solving, and scientific communication skills.Ability to work independently while collaborating effectively within multidisciplinary research teams.Curiosity, creativity, and a proactive approach to tackling open-ended research challenges. BenefitsCompetitive salary based on experience.Equity or share option opportunities.Opportunity to contribute to pioneering research with real-world applications.Collaboration with leading researchers across academia and industry.Professional development through publication and interdisciplinary research.Early-stage environment offering significant ownership and long-term growth opportunities.
George TemplemanGeorge Templeman
Lucca, Italy
Quantum Measurement Engineer
Quantum Measurement EngineerSeeking an experienced Quantum Measurement Engineer to develop and optimise high-fidelity measurement and control systems for superconducting quantum processors. The role involves designing experimental measurement infrastructure, improving qubit performance, automating experiments, and collaborating across hardware and software teams to support the development of scalable quantum computing systems. ResponsibilitiesDesign and optimise qubit readout and control systems for superconducting quantum hardware.Develop and execute qubit characterisation protocols (e.g. T₁, T₂, Ramsey, echo, randomized benchmarking, readout fidelity, crosstalk).Improve measurement fidelity and signal-to-noise performance within hardware constraints.Develop and maintain experimental control software using Python and laboratory instrumentation.Analyse experimental data and compare results with theoretical models and simulations.Collaborate with multidisciplinary engineering and research teams to improve device performance.Support the development of scalable measurement architectures and laboratory automation.Document experimental methods, results, and technical findings. RequirementsMSc or PhD in Physics, Applied Physics, Electrical Engineering, or a related discipline.Significant hands-on experience working with superconducting qubits or similar quantum hardware.Experience with microwave electronics and measurement equipment (e.g. IQ mixers, amplifiers, VNAs).Strong understanding of quantum measurement techniques and qubit decoherence.Experience operating cryogenic systems, including dilution refrigerators.Proficiency in Python for experiment control and data analysis.Familiarity with laboratory automation and experimental measurement frameworks.Ability to troubleshoot complex hardware and software systems. BenefitsCompetitive salary and benefits package.Equity or share option opportunities.Flexible and hybrid working arrangements.Collaborative, merit-based working environment with opportunities for professional growth.
George TemplemanGeorge Templeman
Delft, Provincie Zuid-Holland, Netherlands
Quantum Success Engineer
We're partnering with an innovative quantum technology company looking for a Quantum Success Engineer to help world-leading research teams get the most from cutting-edge quantum control systems.This role sits at the intersection of advanced technology and customer success. You'll work directly with researchers and engineers, helping them deploy, integrate and optimise complex hardware and software solutions that power next-generation quantum computing experiments.What You'll DoSupport customers throughout onboarding, installation and system integration.Deliver technical training, both remotely and onsite.Provide expert support to help customers overcome technical challenges and accelerate their research.Build strong, trusted relationships with customers across academia and industry.Gather customer feedback and act as the voice of the customer internally.Collaborate with product, engineering and leadership teams to influence future product development.What We're Looking ForPhD in Experimental Physics, or a Master's degree with relevant industry experience.Background in microwave, RF or experimental physics environments.Experience working with embedded systems through research, projects or industry.Strong Python programming skills.Excellent communication skills and a customer-focused mindset.A natural problem solver who enjoys working closely with technical users.Previous experience in customer-facing, applications engineering, field engineering or customer success roles is advantageous.Fluency in professional English.Why Join?Work at the forefront of one of the world's most exciting technologies.Collaborate with leading researchers, scientists and engineers.Influence product direction through direct customer engagement.Hybrid working model with strong flexibility.Competitive salary, long-term incentive opportunities and generous pension contributions.Relocation and visa sponsorship support available.Join a fast-growing international business where your work has visible impact.If you're passionate about quantum technology, enjoy solving complex technical challenges, and thrive in customer-facing environments, we'd love to hear from you.
David RodwellDavid Rodwell
London, Greater London, South East, England
Optical Systems Engineer - Quantum Computing
OverviewWe are partnering with an innovative deep-tech company developing next-generation photonic and quantum-enabled computing systems. The team is looking to hire a hands-on engineer to support the build, integration, testing, and deployment of advanced optical and opto-electronic hardware systems. This is an opportunity to work at the intersection of photonics, quantum technologies, and high-performance computing, helping to transform cutting-edge research into robust, customer-ready products. Key ResponsibilitiesOwn the assembly, integration, commissioning, and ongoing support of complex photonic and opto-electronic subsystems.Diagnose hardware and system-level faults, perform root-cause analysis, and implement reliability improvements.Develop and improve assembly, testing, maintenance, and service procedures to support scalable product deployment.Collaborate closely with research and engineering teams to transition new technologies from R&D into manufacturable products.Support customer installations, upgrades, and technical handovers when required.Work with suppliers and vendors to source components and identify opportunities for performance improvements, simplification, and cost reduction.Contribute to system documentation, tooling, and process optimisation initiatives. RequirementsDegree (or equivalent experience) in Physics, Engineering, Photonics, Optics, or a related discipline.Proven experience building, integrating, and troubleshooting complex hardware systems involving optics, electronics, and software control.Hands-on experience working with fibre-optic components and precision optical systems.Strong practical understanding of photonic or opto-electronic instrumentation.Programming experience in Python and/or C for instrumentation, automation, data acquisition, or system analysis.Strong troubleshooting and problem-solving skills with a structured, methodical approach.Comfortable working in a fast-paced engineering environment with evolving priorities.Excellent communication skills and a collaborative mindset.Desirable ExperienceQuantum optics, quantum technologies, or advanced scientific instrumentation.Optical communications, photonic integrated circuits, or laser systems.Supply chain, procurement, or bill-of-materials (BOM) management.Regulatory or compliance experience (e.g. CE, UKCA, FCC).Data centre, HPC, or large-scale hardware deployment environments.Experience within a startup, scale-up, or other deep-tech organisation. Benefits Opportunity to work on cutting-edge photonic and quantum technologies with real-world commercial applications.Exposure to multidisciplinary teams spanning physics, engineering, software, and product development.Hybrid working environment in Central London.Competitive compensation package.Significant opportunities for technical growth and career progression within a rapidly expanding deep-tech organisation
George TemplemanGeorge Templeman