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Silicon Quantum Computing

Produces atomic-scale silicon quantum processors

Infrastructure Engineer - Hardware & Networks

Platform EngineeringConfirmed live in the last 24 hours
Full-timeSydney NSW, AustraliaNo salary listed

About the Job

Requirements

  • At least 4 years of experience in infrastructure, network, or platform engineering, including substantial hands-on bare-metal work.
  • Deep experience with Ansible roles, inventories, idempotent design, and testing and structuring production playbook estates.
  • Network engineering experience across layers 2 and 3, including VLANs, subnetting, routing protocols such as BGP or OSPF, link aggregation, firewall policies, and access control list policies.
  • Strong Linux systems administration and scripting skills in Bash and Python, including kernel, drivers, cgroups, and system services.
  • Experience with infrastructure as code beyond configuration management, using Terraform, OpenTofu, Pulumi, or an equivalent, and a Git-based change workflow.
  • Production Kubernetes experience, ideally on hardware the candidate also owns.
  • Bare-metal provisioning experience using MaaS, Metal3, OpenStack Ironic, Tinkerbell, xCAT, or equivalent.
  • Working knowledge of firmware, BIOS, and BMC management through IPMI or Redfish.
  • Production experience with core network services: DNS, DHCP, NTP, and PXE.
  • Comfort working in a data centre or comms room with racking, structured cabling, optics and transceivers, and out-of-band management.
  • Ability to troubleshoot across layers, from a marginal optic or an unpropagated route to a pod that will not schedule, and explain issues to teams without networking or infrastructure specialization.
  • Experience supporting production services on an on-call rotation.
  • Clear technical writing and attention to detail.

Responsibilities

  • Own bare-metal cluster server fleets end to end, including racking, cabling, provisioning, firmware and BMC management, lifecycle management, and decommissioning across central, research, and control clusters.
  • Design, build, and operate network infrastructure with central IT, including switching, routing, VLANs and segmentation, link and route aggregation, firewall policy, and high-speed fabrics supporting compute and storage.
  • Manage infrastructure through Ansible and infrastructure as code so builds are repeatable and changes are reviewable.
  • Build and maintain automated provisioning pipelines that take a new rack from power-on to a validated, benchmarked, ready cluster.
  • Build the cluster shipped with each quantum computer to the same specification each time in SQC's labs.
  • Run and maintain Kubernetes on this hardware, including CNI, load balancing, storage integration, and node lifecycle.
  • Operate core network services, including DNS, DHCP, NTP and time distribution, PXE and netboot, and certificates.
  • Support hardware bring-up, including BIOS and firmware tuning, BMC configuration, and PCIe topology and NUMA alignment on accelerator hosts.
  • Support compute, control, and lab hardware used by research and engineering teams, including accelerator-card hosts and instrument networks.
  • Instrument servers, fabric, and the provisioning path to support monitoring and telemetry.
  • Plan capacity, power, cooling, and rack layout with facilities and procurement.
  • Monitor platform and network health, respond to incidents, address underlying causes, and document architecture, operational procedures, and validation results.

Desired Qualifications

  • Experience with low-latency or high-throughput fabrics such as 100/400G Ethernet, InfiniBand, or RoCE.
  • EKS Anywhere experience.
  • Experience with precision time distribution such as PTP or White Rabbit.
  • Experience with network automation and source-of-truth tooling such as NetBox, Nornir, containerlab, or Batfish.
  • Experience with vendor platforms such as Arista EOS, Cisco NX-OS, Juniper Junos, or Dell OS10.
  • Experience in HPC, scientific, or research computing environments, including batch schedulers such as Slurm.
  • Experience with cluster benchmarking, performance validation, and related automation.
  • Experience with monitoring and telemetry tools such as Prometheus, Grafana, syslog, or Filebeat.
  • Knowledge of PCIe accelerator hardware such as FPGA or GPU, including firmware and driver management.
  • Experience with container runtimes beyond Docker, such as Podman, Singularity, or Enroot.
  • Experience with Go or Rust alongside Python.
  • Experience building out many identical sites or clusters repeatably, including remote and air-gapped sites.
  • Experience with laboratory or scientific instrument networks.
  • Curiosity about quantum computing; no physics degree is required.

About the Company

Silicon Quantum Computing

Produces atomic-scale silicon quantum processors

Silicon Quantum Computing builds quantum hardware by making integrated circuits at the atomic scale using phosphorus atoms in silicon to form qubits. It precisely places individual phosphorus dopants in a silicon crystal and surrounds them with hardware and control systems to operate the qubits. The company owns the full stack—from atomic fabrication to the hardware and classical controllers—allowing tighter integration and a clearer path to scaling to multi-qubit devices. Its goal is to scale atomic-scale quantum processors and commercialize the hardware for enterprise, government, and research customers.

Company size
51-200
Company stage
Grant
Total funding
$127.5M
Headquarters
Sydney NSW, Australia
Founded
2017

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