Senior Quantum Algorithm Engineer, Optimization

München, United StatesHybrid

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Responsibilities

Drive the integration of quantum subroutines into advanced classical optimization methods, including heuristics, linear programming, relaxations, approximation algorithms, and hybrid workflows •
Design, implement, optimize, and benchmark novel quantum algorithms against classical counterparts •
Simulate quantum algorithms on classical hardware to assess performance and scalability •
Develop and maintain scalable software libraries and ensure seamless integration into broader applications •
Collaborate closely with hardware, software, and research teams to ensure compatibility and impact •
Publish research results and present findings at conferences and technical meetings •
Design and execute experiments to validate, benchmark, debug, and refine algorithms •
Create technical documentation, reports, and educational content •
Support team members through knowledge sharing, mentorship, and active participation in technical discussions

IQM provides both on-premises full-stack quantum computers and a cloud platform to access its computers anywhere in the world.
Master’s or Ph.D. in Theoretical Physics, Computer Science, Mathematics, or a related field •
Strong background in quantum computing, quantum information, and classical computer science, including algorithm design and complexity theory •
Deep knowledge of classical optimization methods and hybrid quantum-classical approaches •
Proficiency with quantum programming frameworks (e.g., Qiskit, Cirq, QDK) •
Ability to design and optimize scalable quantum algorithms and software libraries •
Experience with scientific writing, technical documentation, and conference presentations •
Ability to communicate complex technical concepts clearly to diverse audiences •

IQM has over 300 employees with offices in Finland, Germany, France, Italy, Spain, Poland, Singapore, South Korea, Japan and the US. ( www.meetiqm.com )