Quantum Error Correction Software Engineer

Stellenbeschreibung:

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 work

You 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 Do

Design 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 stand‑ups and weekly design and planning meetings, contributing to healthy delivery and good technical decisions.

What We’re Looking For

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.

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.