A propos de Pasqal
Pasqal conçoit et développe des processeurs quantiques (QPUs : Quantum Processing Units) et les outils logiciels associés.
Notre technologie innovante permet de traiter des cas d’usage qui sont à ce jour hors de portée des plus puissants des supercalculateurs ; ces cas peuvent concerner des défis industriels applicatifs aussi bien que les besoins des sciences fondamentales.
Au-delà de la puissance de calcul exceptionnelle qu’ils apportent, les QPUs sont d’une très grande efficacité énergétique et contribueront à réduire fortement l’empreinte carbone de l’industrie du calcul intensif.
Description du poste
L’ambition de Pasqal est de concevoir et de développer des QPU permettant des calculs très performants, basés sur des atomes neutres manipulés avec des lasers. La complexité des systèmes matériels rend cette aventure à la fois unique et particulièrement stimulante.
Au sein de l’équipe System Performance, nous mesurons et optimisons les performances des QPU. Nous sommes responsables de l’implémentation et de la validation de nouvelles fonctionnalités, et nous travaillons à pousser le système à son plus haut niveau de performance.
En tant que System Performance Engineer, vos principales missions seront de :
- Contribuer à des projets transverses à l’échelle du QPU
- Analyser les performances (via le développement de modèles mathématiques et physiques simples, ainsi que de simulations) afin d’identifier les limitations majeures des designs actuels
- Proposer de nouveaux designs ou de nouvelles techniques (matériel/logiciel)
- Définir et réaliser des plans de tests documentés (système et sous-systèmes) pour valider des gains de performance ou de nouvelles fonctionnalité
- Contribuer au maintien en conditions opérationnelles des QPU de développement
- Proposer de nouvelles idées contribuant à l’innovation industrielle
- Collaborer étroitement avec les autres équipes du département hardware
- Apporter un support à l’équipe Manufacturing & Support
- Communiquer les résultats scientifiques au sein de l’équipe et à l’extérieur
- Encadrer des ingénieur·es junior et des étudiant·es en Master
Profil recherché
Compétences et expérience
- Diplôme de niveau Master 2 en physique avec 2–3 ans d’expérience en industrie, ou doctorat (PhD)
- Connaissances en physique expérimentale (une expérience en interaction atome–lumière est un plus)
- Fort intérêt pour la physique expérimentale et la modélisation physique
- Compétences en programmation pour l’analyse de données et les simulations (Python, …)
- La maîtrise d’outils de gestion de version est un plus (Git)
- Expérience dans la gestion de projets est un plus
Qualités attendues
Autonomie, rigueur et sens de l’organisation
Bonnes capacités de communication et d’écoute
Capacité démontrée à collaborer avec des équipes pluridisciplinaires (Théorie, Expérimental)
Vous avez un bon niveau d’anglais à l’écrit comme à l’oral, et un niveau de français suffisant pour évoluer au quotidien, avec une volonté de progresser.
Ce que nous offrons
- De bureaux neufs sur Massy
- Un rythme flexible de présentiel (2-3 jours de télétravail par semaine )
- Type de contrat : CDI
- Une équipe internationale dynamique et soudée
- Un rôle clé dans une deep-tech en pleine croissance
- Du temps libre pour vous former et aller à des conférences/meetups
Process de recrutement
- Un entretien avec notre talent acquisition de 30’
- Un échange avec Clémence, votre futur·e manager.
- Une rencontre avec l’équipe dans nos bureaux.
- Une offre !
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
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About Pasqal
Pasqal designs and develops quantum processors (QPUs: Quantum Processing Units) and the associated software tools.
Our innovative technology makes it possible to tackle use cases that are currently beyond the capabilities of the world’s most powerful supercomputers—ranging from industrial application challenges to fundamental science needs.
Beyond their exceptional computing power, QPUs are highly energy-efficient and will help significantly reduce the carbon footprint of the high-performance computing (HPC) industry.
Job Description
Pasqal’s ambition is to design and develop QPUs enabling highly performant computation, based on neutral atoms manipulated with lasers. The complexity of the hardware systems makes this journey both unique and particularly exciting.
Within the System Performance team, we measure and optimize QPU performance. We are responsible for implementing and validating new features, and for pushing the system to its highest performance level.
As a System Performance Engineer, your main responsibilities will be to:
- Contribute to cross-functional projects at the QPU level
- Analyze performance (by developing simple mathematical and physics models and simulations) on current designs and identify the main limitations
- Propose new designs or new techniques (hardware/software)
- Define and execute documented system and sub-system test plans to validate performance improvements or new features
- Contribute to keeping development QPUs operational
- Propose new ideas leading to industrial innovation
- Collaborate closely with other teams in the hardware department
- Support the Manufacturing & Support team
- Communicate scientific results within and outside the team
- Mentor junior engineers and Master’s student
Profile / Requirements
Skills and experience
- Master’s degree (MSc/Engineering) in Physics with 2–3 years of industry experience, or a PhD
- Knowledge of experimental physics (atom–light interaction experience is a plus)
- Strong interest in experimental physics and physics modeling
- Programming skills for data analysis and simulations (Python, …)
- Version control is a plus (Git)
- Experience managing small-scale projects
Soft skills
- Autonomy, rigor and organization
- Communication and listening skills
- Proven ability to collaborate with multi-disciplinary teams (Theory, Experimental)
- Good level of written and spoken English. French is a plus but not required
- You have a good level of English, and at least a basic level of French with willingness to keep improving !
What we offer
Brand-new offices in Massy (France)
Flexible onsite rhythm (2 days of remote work per week)
Contract type: Permanent contract (CDI)
A dynamic, close-knit international team
A key role in a fast-growing deep-tech company
Time to learn and attend conferences/meetups
Recruitment process
A 30-minute interview with our Talent Acquisition team
A discussion with Clémence, your future manager
An onsite meeting with the team at our offices
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, race, ethnicity, age, religion, or sexual orientation.
TECHNICAL & MARKET ANALYSIS | Appended by Quantum.Jobs
The transition from laboratory-scale quantum processing to industrial-grade high-performance computing requires a structural pivot toward hardware performance engineering. As quantum processing units (QPUs) advance through varying Technology Readiness Levels (TRLs), the ecosystem faces a critical bottleneck in system-level optimization and feature validation. This role type serves as the primary mechanism for mitigating the systemic risks associated with hardware-software interoperability and physical design limitations. By converting complex physical observations into deterministic performance roadmaps, this function ensures the reliability of quantum architectures within the global deep-tech value chain. Market signals from national quantum strategies emphasize that such expertise is essential for bridging the gap between fundamental physics and the deployment of scalable, energy-efficient quantum processors.
The quantum computing landscape is currently defined by the pursuit of scalability and the reduction of error rates across diverse hardware modalities, including neutral-atom and superconducting systems. A major macro constraint facing the sector is the lack of standardized benchmarking protocols to assess QPU throughput and fidelity under real-world computational loads. As organizations move toward 1,000-qubit architectures and beyond, the primary challenge has shifted from basic qubit coherence to the holistic optimization of the control stack and the hardware-software interface.
Infrastructure dependencies, particularly the integration of quantum hardware with existing high-performance computing (HPC) environments, represent a high-stakes variable for industry adoption. The evolution of the value chain depends on the ability to maintain development systems in operational states while simultaneously validating next-generation features. This requires a sophisticated management of the feedback loops between experimental physics and systems engineering. Sector-wide efforts continue to address talent and integration challenges in quantum systems to ensure that performance gains are reproducible across disparate cloud platforms.
Furthermore, the emergence of hybrid classical-quantum workflows necessitates a shift in how system performance is measured. It is no longer sufficient to optimize isolated physical parameters; the ecosystem requires a systemic approach to identifying architectural limitations that impede end-to-end workload execution. Current industry dynamics, influenced by public-private funding and sovereign technology mandates, place a premium on roles that drive the industrialization of quantum hardware. This structural layer of expertise is the primary driver for maintaining technical momentum as the industry transitions toward fault-tolerant computing.
The capability architecture for this role type centers on the synchronization of experimental physics modeling with the protocols of systems engineering and data-driven performance analysis. Mastery of the hardware-software boundary is essential for ensuring that QPU designs are optimized for specific physical constraints, such as atom-light interactions or laser-controlled gate fidelities. This requires a deep understanding of the integration points between low-level hardware control systems and the higher-level mathematical simulations used to predict system behavior.
These capabilities are fundamental to the throughput of technology organizations, as they enable the parallelization of hardware development cycles with the validation of new system features. By establishing rigorous testing and verification frameworks, this function provides the leverage needed to assess the true readiness of emerging architectures before full-scale manufacturing. Furthermore, the ability to translate complex scientific data into actionable design improvements ensures that hardware roadmaps remain aligned with the practical demands of industrial applications. Such expertise reduces the iteration friction between abstract physical research and the delivery of reliable quantum processing units, which is critical for long-term competitiveness in the quantum-as-a-service (QaaS) market. - Accelerates the deterministic transition from experimental quantum hardware to industrial-grade processing units
- Mitigates systemic execution risks by identifying physical design limitations through rigorous performance modeling
- Facilitates the integration of quantum hardware into standardized high-performance computing and cloud infrastructures
- Strengthens the reliability of technology roadmaps through the implementation of documented system validation plans
- Reduces iteration friction between fundamental physics breakthroughs and the deployment of scalable hardware features
- Optimizes the allocation of technical talent by bridging the gap between theoretical research and systems engineering
- Enhances the stability of the quantum value chain by providing predictable performance frameworks for software partners
- Supports the scaling of QPU architectures by managing the complex dependencies of the hardware control stack
- Improves the transparency of technology readiness level progression for stakeholders in the investment and policy sectors
- Enables the structural reproducibility of quantum performance tests through the standardization of validation protocols
- Protects high-capital hardware investments by ensuring alignment between experimental gains and commercial scalability
- Orchestrates the convergence of academic research pathways with the practical demands of enterprise-ready quantum servicesIndustry Tags: Quantum Hardware Engineering, Neutral Atom Computing, QPU Performance Optimization, Systems Engineering, Experimental Physics Modeling, Deep Tech Industrialization, HPC Integration, Quantum Benchmarking
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