Senior Scientific Software Engineer

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!

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.

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.

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.

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.