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.

Desired Candidate Profile

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