Senior Quantum Solutions Engineer – ML (Saudi Arabia)

Requirements

The role seeks a senior machine learning engineer with around five years of professional experience and an interest in quantum computing; a physics background is a plus but not required. Candidates should be able to adapt machine learning methods to real-world data and constraints, build robust pipelines, evaluate solutions, and collaborate across technical and client-facing teams.

Job Summary

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.

Responsibilities

Adapt and deploy Pasqal’s existing quantum and quantum-enhanced graph machine learning algorithms for client use cases, building reliable pipelines and integrating them with quantum hardware, execution workflows, and simulation tools. Collaborate with clients, domain experts, R&D, and engineering teams to meet delivery criteria and provide maintainable code, documentation, and handover materials.

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