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
Quantum error correction becomes real when it runs fast and reliably on hardware that can be used by others. In this role, you will build the firmware and FPGA logic blocks that turn error syndrome observations into decisions during coherence time of qubits. Your work will help reduce error rates and latency, and make the system flexible enough for users to adapt and extend.
You will join the QEC Architecture and Integration team and collaborate closely with QEC control architecture developers, control hardware platform teams inside IQM and at partners, and the engineers integrating these capabilities into station control software. You will be part of a small, interdisciplinary team setup where people teach each other, share tools, and keep the system glued together end to end.
What you'll actually do Design and implement embedded software for an FPGA softcore microprocessor, including C and assembly
Design, implement, simulate, and benchmark FPGA IP blocks in HDL for QEC related decoding and control workflows
Evaluate decoding algorithms and proposed control architectures for implementation feasibility
Benchmark and optimize data throughput, latency, and FPGA resource requirements
Align interfaces, protocols, and documentation with software, firmware, and hardware stakeholders
Do bidirectional knowledge sharing with domain experts and help keep shared tools and ways of working healthy
What we're looking for MSc in computer science, computer engi