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 controller
Maintain and extend the NISQ pulse compiler that translates pulse-level operations into hardware instructions
Implement logical measurement, Pauli frame tracking and inter-QPU operations across chiplets
Work on the decoder path: error monitoring, offload and look-ahead, and the neural network decoder services in the cluster layer
Build the orchestration around magic state distillation, so resource states are available when a logical gate needs them
Design against hard deadlines: latency budgets, jitter, and hot paths with no allocation and no surprises
Work across the boundaries between fabric, embedded processor, host and cluster, including memory-mapped interfaces, DMA and the card-to-card protocols
Verify timing-dependent behaviour properly: simulation, reference models, and replay of recorded device data before anything touches a card
Measure latency and jitter on the hardware rather than inferring them, and report the measured results
Work with Compiler Services on what the control plane can execute, and with Automated Calibration Services on calibration duty cycles
Bring up and operate the mesh alongside Platform & Infrastructure, including the CI/CD path onto real hardware
Document 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 production
Rust or C++ at depth, plus Python for tooling, analysis and test
Hard realtime experience, where a missed deadline is a failure rather than a slowdown: latency budgets, jitter, and allocation-free or lock-free hot paths
Concurrency and synchronisation, and the discipline to keep the critical path straightforward
Working close to hardware: memory-mapped IO, drivers, DMA, interrupts, and the contracts between software and logic
Scheduling, allocation or queueing algorithms, and the ability to reason about worst case rather than average
Strong computer science fundamentals, and comfort implementing an algorithm from a paper




Testing systems whose behaviour depends on timing, including simulation and comparison against a reference implementation
Measuring performance on the target hardware rather than by approximation
Git workflow, code review and CI applied to hardware-facing code
The 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 it
AMD Versal or Alveo cards, particularly the V80
Quantum error correction, decoders, or matching and graph algorithms under a cycle budget
Embedded and bare-metal work, including no_std Rust on ARM targets
Kernel bypass, RDMA, DPDK, or other low-latency data paths
DSP, pulse-level control, or closed-loop feedback in software
Instrument control, scientific hardware, or precision timing and synchronisation
Neural network inference under a latency budget, including quantisation
Linux performance tooling: perf, tracing, and understanding where a microsecond went
Quantum 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.
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.
#J-*****-Ljbffr

📌 Software Engineer, Control & Error Correction (New South Wales)
🏢 sq capital
📍 New South Wales