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Firmus Technologies

Designs and operates AI GPU data-centers.

Network Architect

Network Engineering & AdministrationConfirmed live in the last 24 hours
Full-timeSingaporeNo salary listed

About the Job

Requirements

  • A bachelor's degree in Network Engineering, Computer Science, or a related technical field.
  • At least five years of network engineering experience, focused on AI infrastructure.
  • Strong project management skills and experience leading complex technical projects.
  • A solid understanding of advanced networking technologies, particularly those related to AI.
  • Hands-on experience with NVIDIA InfiniBand, Spectrum Ethernet Platform, and RDMA over Converged Ethernet.
  • Strong experience with fibre-optic and copper network cabling systems.
  • Willingness to travel domestically and internationally for on-site deployments and commissioning as required.

Responsibilities

  • Architect and maintain low-latency, high-throughput interconnects for high-performance computing and AI workloads, including InfiniBand and 100/200/400/800GbE.
  • Collaborate with network engineers and cross-functional teams to develop network infrastructure roadmaps aligned with business and technical strategy.
  • Lead the design of layer 1, layer 2, and layer 3 network infrastructure in data centre deployments, AI Factories, and cluster interconnects, accounting for redundancy, scalability, and performance.
  • Evaluate technologies, architectures, and design patterns to improve network performance and efficiency.
  • Design, configure, and deploy scalable physical networks optimized for AI workloads.
  • Oversee planning and implementation of single-mode and multi-mode fibre-optic cabling systems, including backbone connections, patch panels, and structured cabling.
  • Plan the capacity and integration of dense wavelength-division multiplexing, coarse wavelength-division multiplexing, and long-haul fibre for intersite connectivity.
  • Ensure physical infrastructure aligns with architectural standards and supports scalability, availability, and security goals.
  • Create and maintain accurate, current documentation of network architecture, hardware, and cabling.
  • Coordinate network infrastructure with other data centre services, including mechanical, electrical, and security services, in collaboration with other engineering disciplines.
  • Participate in the operations standby roster and provide on-call support from time to time.
  • Plan and implement firewalls and security devices; apply firewall rules, virtual LAN segmentation, and access control lists in accordance with zero-trust principles to protect internal and external communications.
  • Collaborate with the SMC Security and Risk team to enforce policies and respond to security incidents.
  • Respond to and resolve escalated network issues, outages, and performance degradation across the SMC Corporate and Compute network infrastructure.
  • Analyze logs, run diagnostics, and coordinate with vendors and carriers as needed.
  • Work with the internal observability team to set up and maintain monitoring tools that proactively identify bottlenecks, errors, and abnormal behavior.
  • Analyze bandwidth, hardware utilization, and growth trends to inform scaling and procurement recommendations.
  • Design and test redundant paths, failover mechanisms, and disaster recovery playbooks to maintain connectivity during outages or maintenance.
  • Support the deployment team by defining project timelines and resource allocation for the network portion of AI cluster installations.
  • Create bills of materials and develop budgets for network deployments.
  • Coordinate with cross-functional teams to ensure successful project delivery.
  • Maintain and expand expertise in optical transport networks, NVIDIA InfiniBand, Spectrum Ethernet Platform, and RDMA over Converged Ethernet.
  • Provide technical support and troubleshooting for advanced networking technologies, escalating issues to vendors as needed.
  • Mentor junior network engineers and support their technical development.
  • Work with Firmus Engineering and Commissioning teams to align network infrastructure with customer requirements.
  • Facilitate knowledge sharing and communication between teams, and create and maintain comprehensive technical documentation.
  • Build and maintain relationships with technology partners and vendors, and proactively manage and coordinate partner engagement on site.

Desired Qualifications

  • Familiarity with open-source network operating systems such as Cumulus Linux and SONiC.

About the Company

Firmus Technologies

Designs and operates AI GPU data-centers.

Firmus Technologies builds AI-focused data centers called the AI factory, featuring liquid-cooled GPU campuses and a GPU cloud. Its AI FactoryOS ties cooling, racks, and chips together to maximize uptime and throughput. It differentiates with a full hardware–software stack for AI, MLPerf efficiency data, NVIDIA partnerships, and renewable-powered campuses such as Tasmania’s Green AI Factory Zone. Its goal is to scale energy-efficient, sovereign AI infrastructure for tens of thousands of GPUs while reducing costs and boosting AI throughput.

Company size
51-200
Company stage
IPO
Headquarters
Launceston, Australia
Founded
2019

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