Mid-Senior Quantum Developer - W/M
Pasqal
The Quantum Circuit team is seeking a Mid-Sr Quantum Developer to take on key tasks in Pasqal’s algorithm and software stack, interfacing internally and with external customers to investigate future applications in the Quantum Machine Learning realm, and how to run them in digital hardware.
The Quantum Circuit team is a cutting edge, R&D team focused on matching emerging digital HW capabilities from our devices to quantum protocols targeting the solution to some of the most complex problems in industry today. We seek an enthusiastic and knowledgeable colleague to expand our team, initially onboarding and contributing to existing projects, with the perspective of becoming a main point of contact in new ones.
Your key responsibilities will be as follows:
Analyse the latest developments in machine learning, and deploy them in quantum protocols targeting problems in applied mathematics
Work with our customers to ensure that our findings target relevant industry problems, and deliver sound perspectives of quantum advantage
Collaborate with quantum algorithm developers to identify and develop promising algorithms to run in the early fault-tolerant regime, with a special emphasis on quantum machine learning
Prepare publications and contribute to our intellectual property portfolio.
Presenting results and innovations in technical discussions internally and in related conferences and outreach events
We look for candidates with a PhD in a technical field (primarily Computer Science, Physics or Mathematics), who have been involved in relevant research projects in their academic career (or via industry internships), are good team players with a proactive, autonomous attitude.
Ideally, you should satisfy these fundamental requirements:
Familiarity with at least the basics of quantum algorithms & quantum information, and a related programming language (e.g. qadence, qiskit, pennylane, cirq)
Strong code development skills, preferentially in Python (though equivalent languages will be considered)
Experience working in multi-disciplinary teams
Fluency in English
Strong preference will be given to candidates with familiarity (or proven know-how) about one or more among:
The interface of scientific modelling and machine learning (physics-informed frameworks, neural operators, ...)
With machine learning packages (e.g. torch, tensorflow, ...)
Quantum machine learning topics
Fault-tolerant protocols and resource estimation in this context
Quantum error-correction protocols
What we offer
Contract type: Permanent contract based in South Korea
A dynamic and close-knit international team
A key role in a fast-growing start-up
Time allocated for training and attending conferences and meetups