Quantum Algorithms Engineer (Advanced and Senior), QML

IQM Quantum Computers; München; Vor Ort; EUR 90.000 - 140.000; Vollzeit

Benefits dieser Stelle

Hybrid work setup

Flat hierarchy

Strong collaboration

Competitive compensation

Zusammenfassung

IQM Quantum Computers is seeking two Quantum Algorithms Engineers (Advanced and Senior) to join the Quantum Machine Learning team in Munich. You will advance quantum ML methods and integrate them into real-world workflows, shaping the next generation of quantum devices.

You will design novel algorithms, estimate resources, and collaborate with hardware, software, and research teams. A PhD with 3+ years postdoc or industrial experience and strong publications in quantum ML are expected.

Qualifikationen

• PhD in theoretical physics, computer science, mathematics or related field, or equivalent experience.
• At least 3 years in postdoc or equivalent industrial position with independent research and mentoring experience.
• Track record of impactful publications in quantum machine learning.
• Strong background in quantum computing, information, and ML theory including algorithm design and complexity.
• Proficiency with Python and quantum programming frameworks (Qiskit, Cirq, Qrisp) and standard software practices.

Aufgaben

• Design novel quantum machine learning algorithms for early fault-tolerant quantum computers.
• Estimate resources for algorithms with inputs from hardware and device characterization teams.
• Develop resource reduction schemes via transpilation and hardware-aware optimizations.
• Assess new proposals and compare resources for implementation and applications.
• Incorporate QEC research into algorithm design for next-gen devices.
• Lead collaborations with industry and academia and publish high-impact results.

Kenntnisse

Quantum algorithms

Python

Qiskit

Cirq

Qrisp

ML theory

Mentorship

Communication

Ausbildung

PhD in theoretical physics, CS, mathematics, or related field

Tools

GitHub

Unit testing

Simulation tools

Jobbeschreibung

At IQM, we build world‑leading quantum computers for the well‑being of humankind. We design systems to tackle computational challenges beyond the practical limits of classical machines. Our work sits at the edge of science and engineering. It is complex, demanding, and deeply collaborative. We turn deep research into reliable, full‑stack systems that drive discoveries in fields such as medicine, energy, and technology, reshaping how the world computes.

The work

We are looking for two Quantum Algorithms Engineers (Advanced and Senior levels) to join our Quantum Machine Learning (QML) team. These positions strengthen IQM’s leadership across the stack by advancing quantum machine learning methods and integrating them into real‑world computational workflows. As part of the algorithms and applications department, the machine learning team assesses, develops and improves quantum machine learning algorithms with the goal of understanding and expanding where quantum computers provide advantage; whether in terms of samples required, algorithm run time, or final predictive performance.

We design with the device in mind, incorporating circuit structure, measurement strategy, error mitigation and correction, using in‑house expertise and real hardware implementations to guide our strategy. With this, we aim to deliver meaningful quantum machine learning methods that do not just satisfy theoretical guarantees but also can be impactful in practice.

These positions are based in Munich, Germany, although remote work may be considered. The team is distributed across Germany, France, and Finland.

What You’ll Actually Do

• Design novel quantum machine learning algorithms for early fault‑tolerant quantum computers.
• Assess via detailed resource estimation algorithm efficiency, incorporating analysis from theoretical results, input from hardware and device characterisation teams, simulated and real hardware experiments.
• Develop resource reduction schemes ranging from improved transpilation techniques and exploiting hardware‑specific knowledge to improved algorithm design and incorporation of classical resources.
• Strategically assess new and current algorithmic proposals, considering in detail required resources for implementation, valuation of application areas, and competing classical approaches.
• Incorporate the research of the quantum error correction (QEC) teams into algorithm design and shape the requirements for the next generation of devices.
• Drive the publication of high‑impact research papers, present at scientific conferences, and promote results through networking and collaboration.
• Contribute to intellectual property via the filing of patents, producing technical reports, comprehensive documentation, and educational content.
• Lead collaborations with industry and academic partners, as well as internally with hardware, software, and research teams, with a focus on impact and delivering results.
• Mentor team members through knowledge sharing, both technical and soft skills.
• Explain and translate technical content for business partners, collaborators and clients.

What We’re Looking For

• Ph.D. in theoretical physics, computer science, mathematics, or a related field, or demonstrably equivalent experience.
• At least 3 years in a postdoctoral or an equivalent industrial position, demonstrating individual research and mentorship capabilities.
• A track record of impactful publications in quantum machine learning.
• Strong background in quantum computing, quantum information, and classical computer science, including algorithm design, complexity and machine learning theory.
• Expert knowledge of quantum algorithms, including quantum signal processing, quantum phase estimation, linear combination of unitaries and amplitude amplification, as well as specific quantum machine learning knowledge (e.g., Born machines, QRAM design, quantum kernels/feature maps).
• Strong analytical, mathematical modelling and problem‑solving skills.
• Proficiency with Python, quantum programming frameworks (e.g., Qiskit, Cirq, Qrisp) as well as standard software development practices (git/GitHub/GitLab, unit testing, code clarity and standardisation).
• An ability to communicate complex technical concepts and results to audiences ranging from non‑technical to experts in the field.
• Experience in leading collaborations, as well as providing technical contributions to cross‑discipline projects.
• Knowledge of quantum error correction and superconducting architectures.
• Non‑asymptotic resource estimation of either scalable or fault‑tolerant algorithms / quantum gadgets.
• Demonstrable experience applying theoretical tools to practical problems, such as classical shadows, MPS/tensor network approximations, or dynamical Lie algebras.
• Experience contributing to or producing mature software libraries, either for open‑source or product purposes.

Why IQM?

• Full‑stack quantum computing: From quantum hardware to software layers and beyond, we build across the full stack.
• High‑performance playground: We aim high, and we know sustainable performance only works when life outside work does too—hybrid setups, flexible hours.
• Never the smartest: Expect to learn constantly. You won’t always be the smartest person in the room, and that’s the point.
• Approachable leadership: Flat hierarchy, direct access. Feel free to approach any leaders. They’re friendlier than they look!
• The sweet spot: Big enough to matter. Small enough to move fast. Growing between a startup and a corporation. We’re in the phase where top performers get noticed.
• Bigger than IQM: Our people build know‑how for the entire quantum ecosystem. We publish papers, run hackathons, and help shape a market that’s still being defined.

The future of computing won’t build itself. You might be one of the few who do.

• Meet our people and learn more about IQM on our stories page.
• Explore our scientific publications.

We’ll start interviews and move forward with hiring as soon as we meet strong candidates. Please submit your application soon.

600M€+ Total Funding | 400+ Team Members | 30+ Quantum Computers Built | 300+ Patents Filed | 10 Locations Globally