Algorithm Developer - Register Team W - M - Pasqal H/F
Role details
Job location
Tech stack
Job description
At PASQAL, we build neutral-atom Quantum Processing Units (QPUs) where lasers, control systems and software meet cutting-edge physics. In the Quantum Register team, we develop algorithms that make qubit preparation scalable, fast, and reliable, a cornerstone for quantum simulation and error correction.
We're looking for experienced scientific software / algorithms engineer to take ideas from theory simulation experimental validation production-grade software that directly improves register performance.
Main responsibilities
The ideal candidate will have a strong interest in developing and implementing algorithms that apply concepts from math, physics, statistics and engineering concepts to solve multi-disciplinary problems at the hardware and system level.
What you'll do
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.
R&D scientific software development & validation
- Explore algorithmic approaches through simulation, data analysis, and quantitative benchmarking.
- Run literature reviews / technology watch to bring relevant methods into the team.
- Define metrics, validate performance, and write clear test reports.
Performance engineering
- 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.
Collaboration & communication
- Work closely with software and hardware engineers to integrate algorithms from end-to-end.
- Present results to mixed audiences and document methodologies and architecture., At PASQAL, we build neutral-atom Quantum Processing Units (QPUs) where lasers, control systems and software meet cutting-edge physics. In the Quantum Register team, we develop algorithms that make qubit preparation scalable, fast, and reliable, a cornerstone for quantum simulation and error correction.
We're looking for experienced scientific software / algorithms engineer to take ideas from theory simulation experimental validation production-grade software that directly improves register performance.
Main responsibilities
The ideal candidate will have a strong interest in developing and implementing algorithms that apply concepts from math, physics, statistics and engineering concepts to solve multi-disciplinary problems at the hardware and system level.
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.
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.
R&D scientific software development & validation
- Explore algorithmic approaches through simulation, data analysis, and quantitative benchmarking.
- Run literature reviews / technology watch to bring relevant methods into the team.
- Define metrics, validate performance, and write clear test reports.
Explore algorithmic approaches through simulation, data analysis, and quantitative benchmarking.
Run literature reviews / technology watch to bring relevant methods into the team.
Define metrics, validate performance, and write clear test reports.
Performance engineering
- 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.
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.
Collaboration & communication
- Work closely with software and hardware engineers to integrate algorithms from end-to-end.
- Present results to mixed audiences and document methodologies and architecture.
Work closely with software and hardware engineers to integrate algorithms from end-to-end.
Requirements
Ideally 5+ years of experience managing, building and deploying scientific libraries, from R&D to production.
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Strong Python + software engineering best practices (testing, CI mindset, code quality).
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Foundations in applied math/physics (numerical methods, statistics, optimization, modeling).
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Bonus: C/C++/Rust, GPU/vectorization, ML experience.
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Clear written and spoken English (French is a plus).
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Ability to operate with autonomy, prioritize, and collaborate in multidisciplinary teams., 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).
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.
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., postgraduate degree EducationalOccupationalCredential bachelor degree EducationalOccupationalCredential associate degree
Benefits & conditions
Brand new offices in Massy
- A flexible rhythm of face-to-face work (2-3 days of telecommuting per week)
- Type of contract : CDI (permanent contract)
- A dynamic and close-knit international team
- A key role in a growing scaleup
- Free time to train and go to conferences/meetups
Recruitment process
- An interview with our people acquisition team of 30'.
- An exchange with your futur manager
- A technical use case
- A meeting with the team in our offices
- An offer !, Brand new offices in Massy
- A flexible rhythm of face-to-face work (2-3 days of telecommuting per week)
- Type of contract : CDI (permanent contract)
- A dynamic and close-knit international team
- A key role in a growing scaleup
- Free time to train and go to conferences/meetups
Brand new offices in Massy
A flexible rhythm of face-to-face work (2-3 days of telecommuting per week)
Type of contract : CDI (permanent contract)
A dynamic and close-knit international team
A key role in a growing scaleup
Free time to train and go to conferences/meetups
Recruitment process
- An interview with our people acquisition team of 30'.
- An exchange with your futur manager
- A technical use case
- A meeting with the team in our offices
- An offer !
An interview with our people acquisition team of 30'.
An exchange with your futur manager
A technical use case
A meeting with the team in our offices
An offer !