Quantum Solutions Engineer - H/F

Pasqal; Saudi Arabia; On-site; SAR 100,000 - 150,000; Full time

Job summary

Pasqal is seeking a Mid-Senior Application Engineer in Quantum Optimization with a MSc/PhD in related fields and 3+ years’ hands-on experience. You will translate real-world problems into optimization formulations, run benchmarking, and develop scalable quantum solutions on Pasqal processors.

You’ll collaborate with engineering and R&D, support feasibility studies for clients, and contribute to research directions while working with a dynamic, international team in Saudi Arabia.

Qualifications

• MSc or PhD in combinatorial optimization, quantum computing, or related field.
• At least 3 years in a similar role.
• Proven experience in combinatorial optimization.
• Proven experience in quantum computing.
• Programming in Python with good software practices.
• Strong ability to evaluate algorithms and benchmark results.
• Ability to collaborate with Engineering and R&D teams.
• Project ownership and client-facing skills.

Responsibilities

• Execute quantum optimization client projects from framing to delivery.
• Support the Commercial team on feasibility studies and scope definition.
• Translate real-world problems into optimization formulations and test strategies.
• Survey literature to identify feasible research directions.
• Develop and scale quantum optimization solutions on Pasqal processors.
• Design benchmarking studies and compare with classical approaches.
• Collaborate with software engineering to build experimentation pipelines.
• Work hardware-aware on neutral-atom hardware implementations.
• Define blueprints of quantum utility for client use-cases.
• Coordinate with stakeholders across Engineering, R&D, partners and clients.
• Support team-wide execution and knowledge sharing.

Skills

Combinatorial optimization

Quantum computing

Python programming

Algorithm evaluation

Project ownership

Client-facing

Collaboration with Engineering & R&D

Delivery mindset

Education

MSc/PhD in combinatorial optimization or quantum computing

Job description

We are looking for a Mid-Senior Application Engineer in Quantum Optimization with background in Operations Research and/or in Quantum Computing to strengthen our team.

What you’ll do:

• Execute quantum optimization-related client projects from early technical discussions and problem framing to project delivery.

• Support the Commercial team on the execution of feasibility studies and on the definition the state of work for future client projects

• Translate real-world problems into optimization formulations and evaluate solution strategies using a mix of analytical reasoning and numerical experimentation.

• Investigate and synthesize the state of the art (academic and industrial literature) to identify relevant directions, assess feasibility, and propose impactful research paths.

• Develop and scale quantum optimization solutions for clients’ use cases on Pasqal quantum processors. Also, improve and extend existing use cases;

• Design and run benchmarking and feasibility studies, including assessing the limitations of classical approaches and identifying realistic pathways toward quantum utility.

• Develop solutions and experiment pipelines in close collaboration with the software engineering team, using emulation backends locally and on HPC when relevant.

• Work hardware-aware: investigate realistic implementations on neutral-atom hardware (mainly using analog paradigms)

• Define blueprints of quantum utility for clients’ use-cases and collaborate closely with R&D hardware teams to bring them to fruition.

• Collaborate with internal and external stakeholders (Engineering, R&D, academic and industrial partners, and clients) throughout all phases of projects, ensuring alignment on technical scope, success criteria, and deliverables.

• Support team-wide execution and knowledge sharing, including helping on code/components outside your direct ownership when needed and contributing to ongoing scientific watch activities.

About you

With a MSc or PhD in Combinatorial Optimization, Quantum Computing or in a related field with at least 3 years of experience in a similar role, you have most of the following assets:

• Proven experience in combinatorial optimization: familiar with classical problems, linear programming, constrained programming, heuristics, metaheuristics, complexity theory, graph theory

• Proven experience in quantum computing: understanding of quantum algorithms, Hamiltonian-based optimization, Ising formulations, adiabatic and variational approaches, noise mechanisms, state preparation errors, measurement statistics, and hardware constraints of neutral-atom QPUs;

• Methodological: ability to connect theoretical concepts with practical applications on current and future quantum hardware

• Delivery mindset: ability to explore, prototype, benchmark, and iterate on new approaches. Write clear technical reports

• Programming skills (Python): good software engineering practices such as version control, testing, and documentation

• Solid experience on algorithm evaluation & benchmarking: experiment design, reproducibility, performance analysis

• Able to collaborate with Engineering and R&D teams across different disciplines

• Project ownership : execute projects end-to-end, respecting milestones and and managing risks

• Client-facing skills: relationship skills for interacting with clients and partners

What we offer

• Contract type: Permanent contract based in Saudi Arabia

• A dynamic and close-knit international team

• A key role in a fast-growing start-up

• Time allocated for training and attending conferences and meetups

Process de recrutement

• A 30-minute interview with our talent acquisition team

• A conversation with Wesley, the hiring manager

• A technical assessment

• Meet the team in the office

• Job offer!

Pasqal est un employeur garantissant l'égalité des chances. Nous nous engageons à créer un lieu de travail diversifié et inclusif, car l'inclusion et la diversité sont essentielles à la réalisation de notre mission. Nous encourageons les candidatures de tous les candidats qualifiés, quels que soient leur sexe, leur race, leur origine ethnique, leur âge, leur religion ou leur orientation sexuelle.