[Hiring] Staff Network Engineer @Radian Arc

Role Description

Design, implement, and operate the network infrastructure powering the GPU cloud platform, including high-performance AI fabrics as well as classical datacenter networking components such as routing, security, and external connectivity. This role spans both high-performance east-west networking for distributed AI workloads and north-south connectivity, security, and inter-datacenter transport.

As the first dedicated networking role in the organization, the Staff Network Engineer combines Staff-level architectural ownership, technical direction, and cross-functional influence with hands-on execution across design, deployment, troubleshooting, automation, and operational improvement.

The Staff Network Engineer owns the long-term technical direction and operational strategy for Radian Arc’s AI interconnect networks, designing scalable GPU fabrics and ensuring predictable low-latency performance across distributed training and inference workloads. The role includes designing large-scale RoCE and Ethernet fabrics, guiding architecture decisions, and ensuring operational excellence across global deployments, from hyperscale datacenters to smaller edge locations.

You will collaborate closely with platform, compute, storage, observability, and operations teams to ensure networking is deeply integrated into the overall infrastructure architecture. This role also acts as the senior escalation point for complex networking incidents, driving deep technical investigations and systemic improvements that increase reliability, latency consistency, and operational maturity across the platform.

Because this is currently the primary networking role in the company, the position is intentionally hybrid: you are expected to operate at L6 / Staff in terms of technical direction, standards, cross-team influence, and long-term design, while also directly executing critical networking work that, in a larger organization, would be distributed across multiple engineers.

We expect to hire more than one person for this role so providing you have experience in designing AI Infrastructure networking solutions at scale please do not hesitate to apply if your experience does not match the full scope of the position.

Qualifications

• Strong hands-on experience designing and operating large-scale datacenter networks
• Expert knowledge of modern networking protocols including BGP, OSPF, ECMP, EVPN / VXLAN
• Proven experience operating high-speed Ethernet networks in production environments
• Experience operating NVIDIA / Mellanox networking platforms
• Experience owning both architecture and direct implementation in lean or fast-scaling environments is strongly preferred
• Deep expertise in designing and operating networking fabrics optimized for large-scale GPU clusters and distributed AI workloads
• Strong understanding of GPU communication patterns and the networking requirements of distributed training and inference systems

Requirements

• Ability to debug complex cross-layer issues spanning hardware, firmware, kernel networking, and distributed application communication layers
• Strong knowledge of networking hardware, optics, and high-speed interconnects
• Experience designing network observability systems
• Strong automation skills using Python and/or Bash
• Experience applying software engineering practices to infrastructure automation
• Proven ability to lead complex technical initiatives across teams
• Comfortable collaborating across engineering, operations, and vendors
• Strong systems-level thinking balancing performance, reliability, scalability, and operational cost
• Demonstrated ability to set architectural direction and drive adoption of engineering standards across an organization
• Proven ability to lead through technical influence across multiple teams and domains, without relying on formal people management authority
• Strong mentoring capability and ability to raise the technical level of adjacent engineering teams
• Able to balance short-term execution needs with long-term platform design, operational sustainability, and cost efficiency

Benefits

• Attractive compensation package reflecting your expertise and experience
• A great work environment characterised by friendliness, international diversity, flexibility, and a hybrid-friendly approach
• You'll be part of a fast-growing scale-up with a mission to make a positive impact, offering an exciting career evolution
• Our job titles may span more than one job level. The actual base pay is dependent on a number of factors, such as transferable skills, work experience, business needs and market demands

Company Description

Radian Arc is committed to creating a diverse and inclusive environment and is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, veteran status, or any other protected category under applicable law.