Alice & Bob is developing the first universal, fault-tolerant quantum computer to solve the world’s hardest problems.
The quantum computer we envision building is based on a new kind of superconducting qubit: the Schrödinger cat qubit 🐈⬛. In comparison to other superconducting platforms, cat qubits have the astonishing ability to implement quantum error correction autonomously!
We're a diverse team of 250+ brilliant minds from over 35 countries united by a single goal: to revolutionise computing with a practical fault-tolerant quantum machine. Are you ready to take on unprecedented challenges and contribute to revolutionising technology? Join us, and let's shape the future of quantum computing together!
About the role:
As a Senior Scientific Engineer, you will operate at the intersection of physics, simulation, and software engineering. You will play a key role in developing our qubit simulation and operation platform, contributing across software architecture, scientific computing, and application engineering. You will own complex scientific workflows from concept to deployment, ensuring that solutions are robust, scalable, and maintainable while supporting the evolving needs of the platform.
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Responsibilities:
- Architect, implement, and optimize high-performance scientific software components and simulation kernels, while establishing best practices for software quality, testing, and maintainability.
- Lead development and evolution of the simulation environment used to integrate, orchestrate, and execute quantum chip simulations.
- Drive the onboarding and promotion of simulation tools across the organization, demonstrating capabilities, gathering user feedback, and helping shape the tooling roadmap.
- Support simulation studies, including the execution of simulation pipelines.
- Partner effectively with quantum scientists, researchers, and cross-functional colleagues.
Requirements:
- PhD or Master’s degree in Applied Mathematics, Scientific Computing, Quantum Physics, or related field.
- 5+ years of experience, including 2+ years in an industrial environment.
- Proficiency in Python and JAX, with strong software engineering skills, including version control (Git/GitLab), CI/CD pipelines, automated testing, code review, and software maintainability best practices.
- Experience with scientific computing ecosystems (e.g., NumPy, SciPy, JAX, PETSc, or equivalent), and familiarity with HPC environments (CPU/GPU).
- Hands-on experience running simulations or using scientific simulation software (e.g., Ansys, COMSOL, or similar).
- Professional-level English proficiency, both written and spoken.
Nice to have:
- Proficiency in RUST.
- Background in quantum physics or related domains.
- Strong delivery mindset, with a focus on impact and execution.
- Excellent teamwork, communication, and documentation skills.
- Hands-on experience using LLM-powered tools as part of professional software engineering practices.
Recruitment Process :
- Screening call with Doriane (30 min)
- Hiring Manager Interview (45 min)
- Technical Interview with the Team (60 min)
- Leadership Interview (30 min)
- Fit Interview (30 min)
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Benefits:
- Our success is your success: own it with our BSPCE plan
- Direct IP Compensation: Earn substantial bonuses for driving the core patents that define our quantum architecture.
- Flexible remote policy, up to 40 % a month
- A Parental plan including additional benefits such as crèche support or additional days-off to take care of under 12 years old children
- Subsidized membership withUrban Sports Club
- Mental health support with moka.care
- 25-day vacation policy (as per French law) + RTT
- Half of transportation cost coverage (as per French law), or yearly allowance for the die-hard bicycle users
- Competitive health coverage, with Alan.
- Meal vouchers with Swile, as well as access to a fully equipped and regularly stocked kitchen
- French language courses covered by the company for those interested
Research shows that women might feel hesitant to apply for this job if they don't match 100% of the job requirements listed. This list is a guide, and we'd love to receive your application even if you think you're only a partial match. We are looking to build teams that innovate, not just tick boxes on a job spec.
You will join of one of the most innovative startups in France at an early stage, to be part of a passionate and friendly team on its mission to build the first universal quantum computer!
We love to share and learn from one another, so you will be certain to innovate, develop new ideas, and have the space to grow.
TECHNICAL & MARKET ANALYSIS | Appended by Quantum.Jobs
The maturation of the quantum computing sector has moved beyond isolated hardware demonstrations toward the requirement for high-fidelity simulation environments that bridge fundamental physics and scalable systems engineering. Senior Scientific Software Engineers are structurally necessary to resolve the current translation gap between theoretical qubit behaviors and the deterministic software kernels required for fault-tolerant architectures. This role type serves as a critical stabilization point in the deep-tech value chain, converting abstract mathematical models into high-performance computational tools. By establishing robust simulation baselines, these professionals mitigate the systemic risks of hardware-level trial and error, thereby accelerating the progression through essential Technology Readiness Levels. Market signals indicate that such interdisciplinary expertise is a primary determinant of an organization's ability to transition from experimental prototypes to reliable, production-grade quantum machines.
The quantum software ecosystem is currently undergoing a decisive shift from laboratory-scale proof-of-concepts to the integration of complex simulation pipelines within broader high-performance computing (HPC) frameworks. While hardware modalities such as superconducting circuits and trapped ions continue to advance, the primary bottleneck for industrial utility has shifted to the software layer, specifically regarding the reproducibility and benchmarking of quantum gate operations. Current industry focus lies on bridging classical and quantum capabilities at scale, necessitating specialized scientific computing environments that can handle the massive data throughput required for real-time error correction modeling.
Workforce scarcity is particularly acute at the intersection of applied mathematics and professional software engineering. As the sector moves toward the fault-tolerant era, there is a mounting structural requirement for experts who can navigate the fragmentation of the quantum stack and the lack of standardized verification protocols. This layer of the workforce is essential for maintaining momentum as global public-private funding cycles demand more rigorous technology roadmaps and verifiable performance metrics.
Integration with existing cloud and distributed engineering systems remains a high-risk dependency for the entire value chain. The evolution of the sector depends on the ability to translate complex physical phenomena into software-native formulations without disrupting established research and development cycles. Consequently, the availability of senior practitioners capable of orchestrating these cross-functional dependencies is a major driver of commercial viability in the emerging quantum landscape.
The capability architecture for this role type centers on the synchronization of advanced scientific computing with the rigorous protocols of industrial-grade software engineering. Mastery of differentiable programming frameworks and high-performance simulation kernels is essential for ensuring that qubit operation models are optimized for the specific constraints of fault-tolerant systems. This requires a deep understanding of the integration points between high-level algorithmic abstractions and the underlying hardware-specific compilers that manage hybrid classical-quantum executions. These capabilities are fundamental to the throughput of technology organizations, as they enable the parallelization of research initiatives alongside the development of stable system architectures. By establishing rigorous verification and validation frameworks, this function provides the leverage needed to assess the true utility of emerging qubit modalities before full-scale capital allocation. Furthermore, the ability to manage complex scientific workflows ensures that discovery is reconciled with the practical constraints of scalability and maintainability. Such expertise reduces the iteration friction between fundamental research and system delivery, which is critical for long-term interoperability within the global quantum-as-a-service market.
Reduces iteration friction between theoretical physics research and practical system architecture
Accelerates the deterministic transition toward fault-tolerant quantum computing systems
Mitigates systemic technology risks through high-fidelity algorithmic benchmarking and verification
Facilitates the integration of quantum simulation kernels into standardized HPC environments
Strengthens the reliability of technology roadmaps through rigorous software-hardware co-design
Optimizes the allocation of specialized technical talent across research and deployment cycles
Enhances the stability of the quantum software stack by providing predictable modeling frameworks
Supports the scaling of quantum system performance through optimized simulation orchestration
Improves the transparency of Technology Readiness Level progression for industrial stakeholders
Enables the structural reproducibility of experiments through standardized software implementation
Protects high-capital hardware investments by verifying architectural assumptions at the simulation layer
Orchestrates the convergence of academic research pathways with global enterprise service demands
Industry Tags: Scientific Computing, Quantum Simulation, Fault-Tolerant Computing, HPC Integration, Differentiable Programming, Software-Hardware Co-design, Qubit Modeling, Deep Tech Engineering, Industrial Quantum Software
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