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
Dans le cadre de notre croissance, nous recrutons un Processing Hardware Engineer H/Fpour renforcer notre équipe de Quantum Process. Au sein du département Hardware, l’équipe Processing développe et valide les opérations physiques exécutées pendant la phase de calcul des QPUs à atomes neutres de PASQAL (ex. portes 1 qubit / 2 qubits).
Nous recherchons un profil orienté théorie / modélisation, capable de contribuer à la fois à l’amélioration des performances à court terme et à l’évolution des capacités de processing à moyen/long terme, en lien avec la roadmap hardware.
Vos Missions :
- Concevoir, implémenter et optimiser des opérations de processing (préparation d’état, portes, dynamical decoupling, transport cohérent) sur nos QPUs
- Mettre en œuvre des méthodes d’optimal control sous contraintes hardware réalistes (bande passante, bruit, crosstalk…)
- Identifier les sources d’erreur dominantes, développer/maintenir des modèles de bruit et établir des error budgets
- Relier les erreurs au niveau opérationnel aux performances circuit/digital (simulations end-to-end, benchmarks, analyses de sensibilité)
- Contribuer aux orientations processing moyen/long terme en coordination avec les autres équipes
- Développer et maintenir des bibliothèques internes de simulation/émulation cohérentes avec les données expérimentales
A propos de vous
- Doctorat (PhD) en physique AMO (physique atomique, moléculaire et optique) / information quantique
- Solide compréhension des plateformes atomes neutres (piégeage, refroidissement, lasers, bruit…) et de leur impact sur les opérations
- Capacité à modéliser des imperfections réelles (expérience labo appréciée)
- Très bonnes compétences en programmation scientifique (ex. Python), analyse de données et simulation
- Autonomie, rigueur, collaboration interdisciplinaire, communication claire
- Bon niveau d’anglais (écrit/oral)
- Expérience : PhD + 0–5 ans
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 start-up 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 ton futur 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
About Us
Pasqaldesigns and develops Quantum Processing Units and dedicated software tools. These innovative processors address applications which are out of the reach of the most powerful existing supercomputers, encompassing real-world challenges as well as fundamental science. As they are very low energy intensive, they will significantly contribute to reduce the carbon footprint of the computing industry. With partnerships with key users in the fields of energy, IT, finance, drug and chemical design, automotive PASQAL is a true leader in the Neutral Atom Quantum computing space.
Job Description
Within PASQAL’s Hardware department, the Processing team develops and validates the physical operations executed during the processing/computation phase of our neutral-atom QPUs (e.g., 1-qubit and 2-qubit gates). The team brings together experimental and theory/numerical profiles to ensure continuous alignment between modeling and experimental reality.
We are looking for a theory-leaning profile who will contribute to both near-term performance improvements and the medium/long-term evolution of processing capabilities, in line with the hardware roadmap.
What you will do
- Protocols development & deployment: Design, implement, and optimize processing operations (state preparation, gates, dynamical decoupling, coherent transport) on Pasqal QPUs.
- Optimal control: Apply optimal-control methods to improve operation performance under realistic hardware constraints (bandwidth, noise, crosstalk, etc.).
- Error modeling & budgets: Identify dominant error sources, build/maintain physical noise models, and quantify their impact on operation fidelity (error budgets).
- Circuit-level performance: Propagate operation-level errors to digital circuit performance (end-to-end simulations/benchmarks, sensitivity analysis) to guide protocol choices and hardware priorities.
- Medium-/long-term roadmap: Contribute to the definition of medium-/long-term processing directions in coordination with other teams.
- Simulation & emulation tools: Develop and maintain internal libraries to simulate operations and circuits under realistic conditions and ensure consistency with experimental data.
About you
- PhD in AMO physics (Atomic, Molecular & Optical) / Quantum Information
- Solid understanding of neutral-atom platforms (trapping, cooling, lasers, noise sources) and their impact on operations
- Strong understanding of experimental constraints (hands-on lab experience is a strong plus) and ability to model real-world imperfections
- Strong programming skills for scientific computing (e.g., Python), including data analysis and simulation workflows
- Experience driving small technical projects (planning, prioritization, delivery)
- Autonomy, rigor, ability to collaborate across disciplines, strong communication & listening skills
- Good written and spoken English
Hiring process
- First chat with our talent acquisition team (30’)
- Meet your futur Manager
- Meet the team and our offices
- An offer !
What we offer
- Contract type: Permanent contract
- 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
PASQAL is an equal opportunity employer. We are committed to creating a diverse and inclusive workplace, as diversity and inclusion 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 structural maturity of neutral-atom quantum computing depends on the deterministic evolution of processing hardware from laboratory-scale prototypes to industrial-grade systems. As the sector transitions toward the NISQ-to-FTQC inflection point, hardware engineering roles serve as the primary drivers of architectural reliability and high-fidelity operation. The convergence of precision instrumentation and scalable control logic is essential to overcome current bottlenecks in qubit coherence and multi-qubit gate fidelity. By stabilizing the physical layer of the quantum processor, this function ensures the integrity of the entire computational stack, facilitating the transition from theoretical advantage to empirical industrial utility. Market analysis suggests that the capacity to industrialize these complex hardware modalities is now a defining competitive differentiator within the global deep-tech landscape.
The quantum hardware ecosystem is currently defined by a shift from discovery-oriented research to systematic systems engineering. While multiple modalities, including superconducting and trapped-ion systems, compete for dominance, neutral-atom architectures have emerged as a high-potential pathway for large-scale entanglement. However, the path to utility-scale deployment is constrained by the complexity of integrating diverse subsystems, ranging from ultra-high vacuum environments to high-speed digital-to-analog control chains. These macro-level challenges necessitate a specialized workforce capable of bridging the gap between fundamental physics and robust electrical and mechanical engineering.
Sector-level data indicates that the primary risk to hardware commercialization is no longer purely scientific, but rather one of manufacturing and integration stability. Organizations must navigate a fragmented supply chain for high-performance components while simultaneously developing custom logic to manage increasing qubit counts. This structural pressure is driving the adoption of modular hardware designs that allow for independent iteration of control and processing units. Furthermore, as national quantum strategies emphasize sovereign technological capabilities, the ability to maintain internal hardware development cycles has become a strategic priority for lead firms.
In Europe, the investment climate remains focused on hardware developers that can demonstrate a clear roadmap toward fault tolerance and hybrid classical-quantum integration. The role of the hardware engineer in this context is to ensure that physical processors can meet the stringent uptime and reliability requirements of high-performance computing centers. As the industry standardizes its benchmarking protocols, the emphasis is pivoting toward long-term operational stability and the reduction of systematic noise, which are critical for the successful deployment of early-commercial quantum solutions.
The capability architecture for hardware engineering involves the synthesis of precision control systems and complex physical interfaces. At the foundational layer, expertise in signal integrity and high-speed data acquisition is critical for maintaining the stability of the quantum state during execution. This technical proficiency is coupled with a deep understanding of hardware-software co-design, where physical constraints directly inform the development of lower-level compiler optimizations. These capabilities are essential for increasing the duty cycle of quantum processors and ensuring that hardware performance remains predictable across varying operational environments. Beyond physical assembly, this role facilitates the creation of automated calibration routines and diagnostic toolchains that enable rapid fault detection and system recovery. This interface is vital for the structural throughput of quantum research, as it reduces the engineering overhead required to maintain complex experimental setups. By standardizing the integration of cryogenic or vacuum-compatible electronics, these experts provide the foundational leverage needed to scale qubit counts without compromising system fidelity.
Stabilizes the physical foundations required for the industrialization of neutral-atom quantum processing units
Reduces systemic error rates through the optimization of hardware-level control and readout chains
Accelerates the progression of technology readiness levels for modular quantum hardware architectures
Mitigates integration risks by aligning physical hardware constraints with scalable software execution layers
Strengthens the reliability of quantum-classical hybrid systems within high-performance computing environments
Facilitates the transition from manual calibration to automated hardware diagnostic and maintenance protocols
Optimizes the throughput of quantum research cycles by improving hardware uptime and operational stability
Supports the scaling of multi-qubit entanglement through the development of high-fidelity control logic
Shortens the timeline for commercial-grade deployment by addressing mechanical and electrical integration bottlenecks
Improves the reproducibility of quantum experiments across different hardware revisions and environments
Protects significant R\&D investments by ensuring the long-term durability of sensitive hardware components
Enables the strategic orchestration of complex deep-tech supply chains through precise component validation
Industry Tags: Quantum Hardware Engineering, Neutral Atom Computing, Signal Integrity, Systems Integration, QPU Development, Control Electronics, Deep Tech Manufacturing, Scalability, Hardware-Software Co-design, Quantum Reliability
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