Description
Silicon Quantum Computing (SQC) is at the forefront of global efforts to build the world’s first commercial-scale quantum computer, while delivering quantum-enhanced AI and simulation products to customers today.
Backed by over 25 years of technological excellence, SQC is a full-stack quantum computing company that leverages its proprietary manufacturing process to engineer atomic qubits in silicon with 0.13 nanometer precision.
It is the most precise semiconductor manufacturing in the world, enabling systems with world-leading algorithmic fidelity, and a decisive advantage in the global quantum computing race.
Our products are commercially deployed and generating revenue.
Watermelon, our quantum-enhanced AI system, is delivering superior results on real-world problems across energy, telecom and finance.
Quantum Twins, our simulation platform, provides unparalleled ability to model quantum systems, accelerating molecule and materials discovery.
This is SQC: building the future of computing while delivering quantum impact today.
About The Role
We are hiring software engineers into Control & Error Correction, the team that builds the realtime engine inside the quantum computer: the software and digital logic that executes circuits, corrects errors and manages logical qubit operations, in NISQ mode today and fault-tolerant mode as the system scales.
These components form the Realtime Quantum Control Plane, running across a mesh of FPGA cards wired to cryogenic hardware.
Time is the constraint.
A correction has to come back inside about a microsecond.
The scheduler allocates logical qubits across cards without adding latency of its own, and nothing on the hot path allocates, blocks or pauses.
The limit is set by the physics, and no later optimisation recovers a missed budget.
The work spans the realtime scheduler, the NISQ pulse compiler in Rust and Python, logical measurement and Pauli frame tracking across chiplets, magic state distillation, and the decoder path from FPGA error monitoring through to the neural network decoders in the cluster.
Compiler Services owns the executable contract, Automated Calibration Services keeps qubits in spec, and Platform & Infrastructure runs the cluster underneath.
Based at our Sydney facility, you will work with physicists and quantum information scientists on what a requirement means, and with the platform engineers who run the hardware underneath.
This is a role for someone who reasons about worst case rather than average, and who wants to work where the latency budget is set by physics.
Role responsibilities
Build and operate the realtime scheduler: logical qubit allocation across the FPGA mesh, the schedule and result pipeline, and the QIS controllerMaintain and extend the NISQ pulse compiler that translates pulse-level operations into hardware instructionsImplement logical measurement, Pauli frame tracking and inter-QPU operations across chipletsWork on the decoder path: error monitoring, offload and look-ahead, and the neural network decoder services in the cluster layerBuild the orchestration around magic state distillation, so resource states are available when a logical gate needs themDesign against hard deadlines: latency budgets, jitter, and hot paths with no allocation and no surprisesWork across the boundaries between fabric, embedded processor, host and cluster, including memory-mapped interfaces, DMA and the card-to-card protocolsVerify timing-dependent behaviour properly: simulation, reference models, and replay of recorded device data before anything touches a cardMeasure latency and jitter on the hardware rather than inferring them, and report the measured resultsWork with Compiler Services on what the control plane can execute, and with Automated Calibration Services on calibration duty cyclesBring up and operate the mesh alongside Platform & Infrastructure, including the CI/CD path onto real hardwareDocument the design, the interfaces and the measurements so the next engineer can extend what you built
Your experience
Essential
4+ years building systems software in productionRust or C++ at depth, plus Python for tooling, analysis and testHard realtime experience, where a missed deadline is a failure rather than a slowdown: latency budgets, jitter, and allocation-free or lock-free hot pathsConcurrency and synchronisation, and the discipline to keep the critical path simpleWorking close to hardware: memory-mapped IO, drivers, DMA, interrupts, and the contracts between software and logicScheduling, allocation or queueing algorithms, and the ability to reason about worst case rather than averageStrong computer science fundamentals, and comfort implementing an algorithm from a paperTesting systems whose behaviour depends on timing, including simulation and comparison against a reference implementationMeasuring performance on the target hardware rather than by approximationGit workflow, code review and CI applied to hardware-facing codeThe ability to work with physicists and quantum information scientists on what a requirement means
Nice to have
HDL design and verification in VHDL, Verilog or SystemVerilog, and the FPGA toolchain around itAMD Versal or Alveo cards, particularly the V80Quantum error correction, decoders, or matching and graph algorithms under a cycle budgetEmbedded and bare-metal work, including no_std Rust on ARM targetsKernel bypass, RDMA, DPDK, or other low-latency data pathsDSP, pulse-level control, or closed-loop feedback in softwareInstrument control, scientific hardware, or precision timing and synchronisationNeural network inference under a latency budget, including quantisationLinux performance tooling: perf, tracing, and understanding where a microsecond wentQuantum computing exposure of any kind (no physics degree required)Publications, open source contributions, or a realtime project you are willing to talk through
Equal opportunity
SQC is an equal opportunity employer.
We value diverse perspectives and experiences, and encourage applications from candidates who may not meet every listed requirement.
If you’re excited about the role and believe you can contribute, we encourage you to apply.
Export controls
This position may require access to export-controlled information or technology.
Employment may be subject to applicable export control laws and may require eligibility assessment based on factors such as nationality, citizenship, or residency, and, where necessary, obtaining relevant export licenses or approvals.
About SQC
SQC was founded by renowned physicist and materials scientist Michelle Simmons, who pioneered the field of atomic electronics, including the development of the world’s first single-atom transistor and the first integrated circuit built with atomic precision.
Our Chair, Simon Segars, former CEO of Arm, is a leader in the semiconductor industry and was instrumental in developing the processors that powered the mobile computing revolution.
As a full-stack company with in-house QPU manufacturing, SQC can design, produce and test new quantum chips in under a week, enabling rapid iteration and a decisive advantage in the race to build the world’s first commercial-scale quantum computer.
SQC is a high-accountability environment built on a simple principle: Every Atom Counts.
If you’re looking to play a meaningful role in building the next frontier of computing, we’d love to hear from you.