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Quantum Algorithm Engineer Jobs

Researchers and engineers who design the codes that make quantum computers useful. One of the smallest specialisms in the field, and one of the most consequential.

Open roles
1
Hiring companies
1
View 1 live role → Get an alert

Quantum Algorithm Engineers are at the forefront of developing the algorithms that will unlock the full potential of quantum computing. These roles are highly specialised, requiring a deep understanding of quantum mechanics and advanced mathematical techniques. Quantum Algorithm Engineers work in a variety of settings, from academic institutions and research labs to cutting-edge tech companies and startups. Their work is crucial for advancing fields such as cryptography, optimisation, and simulation, making them key players in the quantum revolution.

What the role does

Inside the role of a Quantum Algorithm Engineer

A typical week for a Quantum Algorithm Engineer is a mix of theoretical research, algorithm development, and collaboration with hardware teams.

  1. 01
    Design and optimise quantum algorithms for specific problems.
  2. 02
    Collaborate with quantum hardware engineers to ensure algorithms are feasible.
  3. 03
    Conduct theoretical research and stay updated with the latest advancements.
  4. 04
    Write and test code to implement algorithms on quantum computers.
  5. 05
    Document findings and contribute to academic or industry publications.
  6. 06
    Participate in team meetings and cross-functional discussions.
Skills & tools

What hiring managers ask for

% of 1 listings posted in the last 12 months that mention each skill, extracted from job descriptions.

Quantum Algorithms
100%
Quantum Computing
100%
Quantum Compilation
100%
Computational Mathematics
100%
Software Engineering
100%
Optimization
100%
Quantum Simulation
100%
Hybrid Quantum-Classical Computation
100%
Resource Estimation
100%
Type Checking
100%
Career ladder

From Junior to Principal

A typical UK progression for quantum algorithm engineers. Years are guidance — strong people move faster, and many senior folks sidestep into research, product or management.

  1. Level 1

    Junior Quantum Algorithm Engineer

    0–2 yrs

    Assist in the development and testing of quantum algorithms under supervision.

  2. Level 2

    Quantum Algorithm Engineer

    2–5 yrs

    Design and implement quantum algorithms for specific applications, with increasing autonomy.

  3. Level 3

    Senior Quantum Algorithm Engineer

    5–8 yrs

    Lead the development of complex quantum algorithms and mentor junior team members.

  4. Level 4

    Principal Quantum Algorithm Engineer

    8+ yrs

    Drive strategic algorithm development, collaborate with leading researchers, and influence the direction of quantum computing projects.

Pathway

How to become a Quantum Algorithm Engineer

There's no single route, but most people follow some version of these steps.

  1. 1

    Academic Foundation

    Gain a strong foundation in quantum mechanics and computer science through a relevant degree.

  2. 2

    Research Experience

    Participate in research projects or internships to gain hands-on experience in quantum algorithm development.

  3. 3

    Specialisation

    Focus on a specific area of quantum algorithms, such as cryptography or optimisation, through advanced coursework or research.

  4. 4

    Industry Entry

    Join a quantum computing company or research lab as a Junior Quantum Algorithm Engineer.

  5. 5

    Skill Development

    Continuously develop skills through on-the-job training, conferences, and collaborations with experts.

  6. 6

    Leadership

    Progress to senior and principal roles, leading projects and mentoring the next generation of quantum algorithm engineers.

Live jobs

1 live role

Infleqtion · 51–200 people · Public

Quantum Software Engineer - Algorithms & Applications

Save job
  • Kidlington
  • Hybrid
  • Mid-level
  • Permanent

Designs, implements and optimises quantum algorithms for simulation, optimisation and hybrid quantum-classical workloads, working with hardware, control and research teams to turn theory into executable applications. Deploys software optimisations to the Superstaq cloud platform using industry-grade engineering practices, supports customers, and contributes to research publications and commercial proposals.

Superstaq

8 months ago
FAQs

Common questions

  • A strong background in quantum mechanics and computer science, typically through a relevant degree, is essential. Research experience and specialisation in quantum algorithms are also highly valued.

  • Key skills include a deep understanding of quantum mechanics, proficiency in programming languages like Python or Q#, and the ability to collaborate effectively with interdisciplinary teams.

  • Career progression typically involves moving from junior to senior roles, with opportunities to lead projects, mentor junior engineers, and influence the direction of quantum computing research and development.

  • Salaries for Quantum Algorithm Engineers can vary widely based on experience and location. For more detailed salary information, please refer to the salary section on this page.

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