About PASQAL
PASQAL builds neutral-atom quantum computers and the full software stack required to run impactful hybrid quantum-classical workloads. Our quantum software ecosystem spans open- and closed-source libraries, developer tooling, documentation, and production-grade interfaces used by internal teams and external users.
Job description
As a Senior Quantum Software Engineer, you will develop, optimize, and maintain PASQAL’s ecosystem of quantum solver libraries: libraries featuring algorithms for neutral-atom quantum computers. This includes classical and quantum algorithms for graph machine learning, optimization, and quantum simulation use cases.
You will bridge research and production engineering: turning algorithmic ideas into robust, maintainable, well-tested software, while ensuring interoperability across the software stack and strong developer experience.
Key Responsibilities
- Improve performance, reliability, and maintainability of production codebases.
- Transfer research ideas from quantum algorithm teams into production-grade code.
- Produce structured, documented, tested implementations with strong quality standards.
- Ensure interoperability of the application software stack with other libraries.
- Actively contribute to the development and productization strategy of the quantum software stack.
- Drive strong API UX with clear migration paths, versioning, and breaking-change management.
- Support backwards compatibility and deprecation practices.
- Promote best practices for benchmark design and statistical rigor.
- Contribute to backend/platform engineering topics: job orchestration, reliability, observability.
- Support packaging and release engineering
- Apply security-minded engineering practices (dependency scanning, SBOMs, SAST/CodeQL mindset).
Required Qualifications
- Master’s degree in Physics, Mathematics, Computer Science, or equivalent.
- Minimum 5 years of software development experience in industry/research/open-source projects.
- Software engineering excellence
- Strong experience with software best practices in collaborative environments (code review, CI/CD, testing).
- Excellent writing of production-level Python.
Preferred / Nice-to-have
- Open-source contributions.
- Quantum computing knowledge.
- Backend/platform experience (API design, services, reliability/observability).
- Packaging & release engineering (wheels, manylinux, dependency constraints, deprecations).
- Security & software supply-chain practices.
- Familiarity with optimization (MILP/MIQP, constraint programming, metaheuristics) and/or OR frameworks.
- Familiarity with ML frameworks (e.g., PyTorch, JAX).
What we offer
- Offices in Palaiseau, France
- Type of contract: permanent
- 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 45'.
- An exchange with our Hiring Manager
- A meeting with the team in our offices and a meeting with our Chief Software Officer
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 transition from experimental physics to industrial-scale quantum advantage requires a structural shift toward production-grade software stacks that bridge the gap between algorithmic research and hardware execution. Senior Quantum Software Engineers are essential for stabilizing the application enablement layer, ensuring that neutral-atom architectures can be successfully integrated into enterprise-level hybrid workflows. By converting theoretical advantages into robust, maintainable libraries, this role mitigates the systemic risks of technology fragmentation and the persistent translation gap between laboratory breakthroughs and commercial utility. Market signals from the Quantum Economic Development Consortium emphasize that the reliability and interoperability of the software stack are now the primary determinants of industrial adoption. Consequently, this function secures the foundation for deterministic technology roadmaps and cross-platform compatibility within the emerging global deep-tech value chain.
The quantum ecosystem is currently navigating a decisive pivot from isolated proof-of-concept experiments to the integration of high-fidelity computational kernels within global high-performance computing (HPC) environments. While hardware modalities continue to advance, the primary bottleneck for sustained industrial utility has shifted to the software layer, specifically regarding the reproducibility and scalability of quantum-classical hybrid systems. The current sector-wide focus lies on bridging classical and quantum capabilities at scale, which necessitates a sophisticated management of the software-hardware interface to ensure that solver libraries can handle the data throughput requirements of production environments.
Workforce dynamics in the quantum sector are characterized by an acute scarcity of talent capable of applying rigorous systems engineering to abstract mathematical formulations. As organizations move through varying Technology Readiness Levels (TRLs), the structural necessity for senior architects who can navigate the fragmentation of the software stack becomes paramount. Current industry dynamics, influenced by national security mandates and public-private funding cycles, place a high premium on roles that can drive interoperability across disparate quantum cloud platforms. This layer of expertise is the primary mechanism for maintaining momentum as specialized algorithms for optimization and simulation transition from research to mission-ready status.
Integration with existing enterprise architectures remains a high-risk dependency for the sector. The evolution of the value chain depends on the ability to translate complex problem sets into quantum-native formulations without disrupting established digital infrastructures. As a result, the availability of specialized software engineers who can orchestrate these cross-functional dependencies is a leading indicator of whether a technology provider can successfully move beyond the "Noisy Intermediate-Scale Quantum" (NISQ) era toward fault-tolerant deployment.
The capability architecture for this role type centers on the synchronization of advanced quantum algorithmic research with the protocols of enterprise-grade systems engineering. Mastery of the hardware-agnostic software layer is essential for ensuring that solver libraries are optimized for specific hardware constraints while maintaining the flexibility required for cloud-native orchestration. This requires a deep understanding of the integration points between high-level application programming interfaces (APIs) and the underlying compilers that manage the execution of hybrid workloads. Such capabilities are fundamental to the throughput of organizations like Pasqal, as they enable the parallelization of research initiatives alongside the development of scalable, well-documented software ecosystems. By establishing rigorous verification, validation, and benchmarking frameworks, this function provides the leverage needed to assess the true business value of quantum advantage before full-scale capital allocation. Furthermore, the implementation of security-minded engineering practices and robust software supply-chain protocols is critical for long-term interoperability and trust within the emerging quantum-as-a-service (QaaS) market.
• Accelerates the deterministic transition from theoretical quantum research to industrial-grade enterprise software applications
• Mitigates systemic execution risks by synchronizing algorithmic development with near-term technology roadmaps
• Facilitates the integration of neutral-atom computational kernels into standardized cloud and high-performance computing infrastructures
• Strengthens the reliability of organizational technology strategies through the implementation of rigorous algorithmic benchmarking
• Reduces iteration friction between fundamental physics breakthroughs and the deployment of scalable production software
• Optimizes the allocation of technical talent across research, development, and strategic software engineering portfolios
• Enhances the stability of the quantum value chain by providing predictable requirement frameworks for external partners
• Supports the scaling of quantum simulation capabilities by managing complex dependencies in hybrid workflows
• Improves the transparency of technology readiness level progression for stakeholders in the investment sector
• Enables the structural reproducibility of quantum experiments through the standardization of architectural implementation protocols
• Protects high-capital research and development investments by ensuring alignment between discovery and commercial scalability
• Orchestrates the convergence of academic research pathways with the practical demands of global enterprise-ready services
Industry Tags: Quantum Software Stack, Neutral-Atom Computing, Hybrid Quantum-Classical Workflows, Algorithmic Benchmarking, Production-Grade Python, Software Interoperability, Systems Engineering, TRL Progression, Enterprise Software Integration
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