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
Pasqal's ambition is building and developing Quantum Processing Units (QPU) enabling highly performant computation using neutral atoms manipulated with lasers. On the hardware level, the complexity of the setup makes this journey unique and interesting. In the system performance team, we measure and optimize the performances of the QPU. We are responsible for the implementation and validation of new features and to push the system at its higher level of performances.
As a System Performance Engineer, your main responsibilities will be:
- Contribute to QPU wide projects
- Analyze performances (by developing simple mathematical and physics models and simulations) on current design and identify main limitations
- Propose new design or new techniques (hardware/software)
- Propose and perform documented system and sub-system tests plans to validate performance increase or new feature
- Contribute to maintaining dev QPUs in operation
- 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
- Supervise junior engineers and master students
To be successful in this role, you will have the following:
Requirements:
• M2 in physics +2/3 years in industry or PhD
• Knowledge in experimental physics (atom-light interaction physics would be appreciated)
• Strong interest in experimental physics and physics models
• Programming skills for data analysis and simulations (Python, ... )
• Versioning control is a plus (git tools)
• Experience in 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
What we offer
- Beautiful brand new offices in Massy, France
- Type of contract : CDI
- A dynamic and close-knit international team
- A key role in a growing start-up
Recruitment process
- An interview with our Talent Acquisition Specialist of 30'.
- An exchange with the Engineering manager of the team for 60 min.
- An onsite interview with the team in 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, ethnicity, age, religion or sexual orientation.
TECHNICAL & MARKET ANALYSIS | Appended by Quantum.Jobs
The Quantum System Performance Engineer function is structurally essential for de-risking the industrial transition of nascent quantum hardware. This role exists at the critical nexus of experimental physics and commercial engineering maturity, translating fragile physical phenomena into robust, benchmarked system architectures. Its primary impact lies in quantifying, modeling, and optimizing the operational fidelity and coherence metrics of Quantum Processing Units (QPUs), thereby accelerating the Technology Readiness Level (TRL) progression. This engineering discipline addresses the gap between lab-scale proof-of-concepts and deployable, production-ready systems required for HPC integration and commercial viability. This role is a core mechanism for systematic performance enhancement necessary for scaling quantum advantage.
The quantum computing value chain relies heavily on tightly coupling advanced theoretical physics with high-precision engineering, and system performance roles are the primary mechanism for validation. Given the complexity of hardware modalities—such as neutral atom systems—the industry faces persistent challenges in maintaining performance consistency across generations and deployments. Scalability bottlenecks are frequently rooted in the difficulty of controlling quantum state coherence and minimizing error rates as qubit counts increase. The talent shortage in experimental quantum engineering exacerbates this, requiring highly skilled personnel who can integrate physics-based models with robust engineering practice. Public funding cycles and national quantum strategies emphasize translating fundamental research into commercial capability, making performance engineering key to demonstrating return on investment for quantum infrastructure. Pasqal, operating within this high-stakes environment, leverages this role to systematically retire technical debt associated with integrating complex optical and atomic manipulation subsystems into a cohesive computational unit. Current industry focus lies on bridging classical and quantum capabilities at scale, and performance engineering provides the critical telemetry and control loops required for stable hybrid workflows.
The technical skill architecture essential for this role spans multiple domains, centered on rigorous measurement and analytical physics. Core capabilities include quantum system modeling and simulation, which inform optimization strategies for pulse sequences and control systems. Expertise in experimental physics and measurement science is crucial for designing and executing comprehensive benchmarking protocols that accurately capture system fidelity, gate error rates, and decoherence times. Data infrastructure literacy, specifically for high-volume, real-time telemetry processing, is required to translate raw experimental output into actionable engineering insights. This capability domain is critical for ensuring reliable system throughput and stability. The role requires mastery of data analysis platforms, statistical process control methodologies, and versioning protocols (e.g., git) to enforce reproducibility and maintain configuration control across iterative hardware and software deployments. Integrating these capabilities shortens the hardware development lifecycle and provides a quantifiable basis for interfacing the low-level physical layer with the high-level quantum instruction set architecture. * Accelerates the industrial scalability timeline for neutral atom quantum processors.
* Validates key performance indicators necessary for pre-commercial system acceptance criteria.
* Establishes the empirical foundation for error mitigation and fault-tolerance roadmaps.
* Quantifies the energy efficiency profile of next-generation quantum hardware platforms.
* Drives down gate error rates by optimizing control parameters informed by system telemetry.
* Mitigates technical risk associated with integrating complex photonics and vacuum components.
* Standardizes performance benchmarking methodologies across diverse quantum hardware fleets.
* Shortens the iteration cycle between quantum physics discovery and engineering implementation.
* Enables accurate prediction of algorithm performance across varying hardware generations.
* Enhances system stability necessary for cloud-based or High-Performance Computing (HPC) deployment.
* Contributes domain-specific data necessary for industry-wide comparative performance analysis.
* Improves the overall system reliability essential for sustained operational uptime.Industry Tags: Quantum Hardware Engineering, Neutral Atom Qubits, System Performance Validation, Quantum Processing Unit, Experimental Quantum Physics, Qubit Control Systems, Quantum System Architecture, High Performance Computing Integration
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