About Pasqal
Pasqal designs and develops Quantum Processing Units (QPUs) and associated software tools.
Our innovative technology enables us to address use cases that are currently beyond the reach of the most powerful supercomputers; these cases can concern industrial application challenges as well as fundamental science needs.
In addition to the exceptional computing power they provide, QPUs are highly energy efficient and will contribute to a significant reduction in the carbon footprint of the HPC industry.
Job Description
We are looking for a candidate to join our Quantum Applications department delivery team to build and deliver client-facing solutions based on Pasqal’s quantum ML algorithm portfolio.
his is an application-driven engineering role focused on adapting, integrating, and deploying existing approaches to real-world partner and client use cases. The goal is to turn existing methods into reliable client deliverables; contributions to internal method improvement are welcome when they directly support project outcomes.
As a Senior machine learning engineer with around 5 years of professional experience at least with interest in quantum computing (physics background is a plus, not a requirement), you will:
Adapt and implement Pasqal’s existing quantum(-enhanced) graph ML algorithms to fit client datasets, constraints, and performance targets.
Build and maintain robust ML pipelines (data ingestion, preprocessing, training, evaluation, post-processing), including integration with quantum execution workflows, emulation/simulation platforms, and internal tooling.
Establish baselines, metrics, and acceptance criteria with stakeholders, and drive solution iterations until delivery requirements are met.
Collaborate closely with internal R&D teams to transfer methods from research to application, clarify assumptions/limits, and select the best approach from the portfolio for each use case.
Work with hardware and platform engineers to run solutions on Pasqal QPUs, taking into account hardware constraints, execution constraints, and reliability.
Work closely with domain experts from high profile enterprises and partners to deliver solutions on real-world business problems
Produce maintainable code, documentation, and handover material so delivered solutions can be reused and supported.
Keeping a regular scientific and technological watch.
As a Senior machine learning engineer with around 5 years of professional experience at least with interest in quantum computing (physics background is a plus, not a requirement), you will:
Adapt and implement Pasqal’s existing quantum(-enhanced) graph ML algorithms to fit client datasets, constraints, and performance targets.
Build and maintain robust ML pipelines (data ingestion, preprocessing, training, evaluation, post-processing), including integration with quantum execution workflows, emulation/simulation platforms, and internal tooling.
Establish baselines, metrics, and acceptance criteria with stakeholders, and drive solution iterations until delivery requirements are met.
Collaborate closely with internal R&D teams to transfer methods from research to application, clarify assumptions/limits, and select the best approach from the portfolio for each use case.
Work with hardware and platform engineers to run solutions on Pasqal QPUs, taking into account hardware constraints, execution constraints, and reliability.
Work closely with domain experts from high profile enterprises and partners to deliver solutions on real-world business problems
Produce maintainable code, documentation, and handover material so delivered solutions can be reused and supported.
Keeping a regular scientific and technological watch.
What we offer
Type of contract : Permanent contract
A dynamic and close-knit international team
A key role in a growing start-up
Free time to train and go to conferences/meetups
Recruitment process
An interview with our talent acquisition of 30'
A meeting with the team and technical test of 60'
An exchange with Shaheen Engineering manager
A final interview with Louis-Paul, the VP
An offer !
PASQAL is an equal opportunity employer. We are committed to creating a diverse and inclusive workplace, as inclusion and diversity are essential to achieving our mission. We encourage applications from all qualified candidates, regardless of gender, ethnicity, age, religion or sexual orientation.
Skills Required
- 5+ years professional experience in machine learning
- Experience with graph machine learning algorithms
- Experience building and maintaining ML pipelines (data ingestion, preprocessing, training, evaluation)
- Experience integrating ML workflows with quantum execution, emulation, or simulation platforms
- Experience deploying or running solutions on quantum hardware (Pasqal QPUs) and accounting for hardware constraints
- Strong software development practices producing maintainable code, documentation, and handover materials
- Experience collaborating with R&D, hardware engineers, and domain experts to deliver client solutions
- Interest in quantum computing
- Physics background
- Experience establishing baselines, metrics, and acceptance criteria with stakeholders
What We Do
Pasqal is a French quantum computing company developing scalable neutral-atom quantum processors and dedicated software for industry, science, and governments. Its platform is designed to deliver practical quantum computing at scale, support complex industrial workloads, and bridge classical and quantum workflows. Pasqal offers on-premise QPU deployment as well as cloud-native access through Pasqal Cloud, Google Cloud, and Microsoft Azure for customers.
