System-level problem solving
Convert hardware constraints specifications and physical principles into algorithmic architectures, interfaces, and functional block diagrams.
Build a strong understanding of one of Pasqal’s algorithm library and how it connects to the wider software stack and hardware systems.
Explore algorithmic approaches through simulation, data analysis, and quantitative benchmarking.
Define metrics, validate performance, and write clear test reports.
Profile and optimize runtime and resource usage (CPU/GPU when relevant).
Deliver reliable, scalable implementations with solid engineering practices.
Interface solutions with lab/industrial instrumentation when needed.
Work closely with software and hardware engineers to integrate algorithms from end-to-end.
Present results to mixed audiences and document methodologies and architecture.

Ideally 5+ years of experience managing, building and deploying scientific libraries, from R&D to production.
Strong Python + software engineering best practices (testing, CI mindset, code quality).
Foundations in applied math/physics (numerical methods, statistics, optimization, modeling).
Bonus: C/C++/Rust, GPU/vectorization, ML experience.
Clear written and spoken English (French is a plus).
Ability to operate with autonomy, prioritize, and collaborate in multidisciplinary teams.

Algorithm Developer – Register Team

Key skills