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's complex, demanding, and deeply collaborative. We turn deep research into reliable, full-stack systems that drive discoveries in fields like medicine, energy, and technology, reshaping how the world computes.
Join the team that gives quantum a heartbeat.
The workYou will build the software layer that helps our teams run quantum error correction experiments faster, more reliably, and with more room for exploration. You will work closely with domain experts such as quantum researchers and experimental teams, translating between what they need to test and what our systems must execute.
What you’ll actually doDesign and implement software for quantum error correction experiments, from high level domain specific language input to lower level language output
Build flexible and scalable data pipelines converting quantum experiment outputs into logical level observables for fault tolerance analysis and data driven decision making by experimentalists and theorists
Develop internal modularity and configurability so researchers can adapt experiments without rewriting core components
Support the implementation of real time decoding and feedforward for quantum error correction experiments
Collaborate closely with domain experts through bidirectional knowledge transfer, turning research needs into clear engineering work and sharing software insights back to the team
Participate in daily standups and weekly design and planning meetings, contributing to healthy delivery and good technical decisions
A relevant degree in Computer Science, Engineering, Physics, or similar, or equivalent practical experience
Strong software development experience in one or more of Python, C++, Rust, or similar languages used for high performance and scientific systems
Experience building reliable software for complex systems, such as compiler like pipelines, experiment control, data processing, or distributed and hardware adjacent software
Comfort working with domain experts and translating messy research questions into clear interfaces, testable code, and maintainable modules
Good engineering habits: version control, code reviews, testing, and a focus on clarity and long term ownership
Confidence working in ambiguity, with the ability to iterate, learn fast, and make pragmatic choices
Nice To have :
Familiarity with quantum computing concepts, especially quantum error correction, decoding, fault tolerance, or experimental workflows
Experience with real time systems, low latency pipelines, or control loops that require deterministic behavior
Exposure to domain specific languages, compilers, interpreters, or intermediate representations
Experience with experiment data modeling, telemetry, and turning raw outputs into meaningful logical level observables
Interest in research facing engineering, where the goal is to enable discovery without slowing it down
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.
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 | 300+ Team Members | 30+ Quantum Computers Built | 300+ Patents Filed | 10 Location Globally
Skills Required
- Relevant degree in Computer Science, Engineering, Physics, or equivalent practical experience
- Strong software development experience in Python, C++, Rust, or similar high-performance languages
- Experience building reliable software for complex systems (compiler-like pipelines, experiment control, data processing, distributed/hardware-adjacent software)
- Ability to work with domain experts and translate research questions into clear interfaces, testable code, and maintainable modules
- Good engineering habits: version control, code reviews, testing, long-term ownership
- Comfort working in ambiguity, iterating quickly and making pragmatic choices
- Familiarity with quantum computing concepts, especially quantum error correction, decoding, fault tolerance, or experimental workflows
- Experience with real-time systems, low-latency pipelines, or deterministic control loops
- Exposure to domain specific languages, compilers, interpreters, or intermediate representations
- Experience with experiment data modeling, telemetry, and converting raw outputs into logical observables
- Interest in research-facing engineering to enable discovery without slowing it down
What We Do
IQM builds superconducting full‑stack quantum computers and cloud services for research institutions, HPC centers, enterprises and national labs. The company delivers on‑premises systems and managed cloud access, focusing on scalable, high‑fidelity qubit architectures and full‑stack control to accelerate real‑world applications and research in science, industry and technology.






