GPU Network Engineer

CyberCoders; Santa Clara (CA); Hybrid; USD 200,000 - 250,000; Full time

Benefits offered by this job

Health Benefits

401k

Relocation assistance

Job summary

CyberCoders in Sunnyvale, CA is seeking a hands-on GPU Network Engineer to design, build and operate the high-speed fabrics that connect our GPU clusters. This hybrid role requires on-site collaboration and a strong focus on reliability and scalability.

You will deploy InfiniBand (NDR/XDR) and RoCEv2 interconnects, design CLOS/ECMP networks, and work with Kubernetes and bare-metal environments to move data efficiently at scale.

Qualifications

• 2+ years in data center or HPC networking with GPU/AI clusters.
• Hands-on GPU cluster networking design and operations.
• Deep experience with InfiniBand (NDR/XDR) and RoCEv2.
• Experience with Kubernetes and multi-host networking.
• Familiarity with Netbox, Netconf, and IaC tooling.

Responsibilities

• Design and deploy east-west network fabrics for GPU-to-GPU, rack-to-rack, and cluster-to-cluster communication.
• Build and operate InfiniBand (NDR/XDR) and RoCEv2 interconnect fabrics as the primary transport for GPU workloads.
• Implement CLOS/ECMP architectures for high-bandwidth, low-latency data movement across GPU clusters.

Skills

Data center networking

HPC networking

GPU cluster environments

InfiniBand (NDR/XDR)

RoCEv2 interconnects

Multi-host networking

Tools

Netbox

Netconf

Ansible

Terraform

KVM

Job description

Job Title: GPU Network Engineer

Job Location: Sunnyvale, CA (hybrid)

Job Salary: 200k-250k + Benefits

Requirements: Data center, HPC networking, InfiniBand, Kubernetes

Based in Sunnyvale, CA, we are an innovative energy infrastructure company that develops cutting-edge data centers to drive the expansion of sustainable energy assets.

Due to growth, we are looking for a hands-on GPU Network Engineer to design, build, and operate the high-speed fabrics that connect our GPU clusters.

Must be local to Sunnyvale, CA or willing to relocate for this position. (4 days working on-site)

If you are a GPU Network Engineer, please read on!

What You Will Be Doing:

1. Design and deploy east-west network fabrics for GPU-to-GPU, rack-to-rack, and cluster-to-cluster communication at scale.
2. Build and operate InfiniBand (NDR/XDR) and RoCEv2 interconnect fabrics as the primary transport for GPU cluster workloads.
3. Implement CLOS/ECMP architectures optimized for high-bandwidth, low-latency, lossless data movement across GPU clusters.

Must Have Skills:

• 2+ years in data center or HPC networking, with direct experience in GPU or AI cluster environments.
• Hands-on experience with GPU cluster networking: GPU-to-GPU, rack-to-rack, and cluster-to-cluster fabric design and operations.
• Deep working knowledge of InfiniBand (NDR/XDR) and RoCEv2 as primary GPU cluster interconnects -- this is the core of the role.
• Experience with multi-host networking for bare metal, KVM, and Kubernetes.
• Proficiency with Netbox, Netconf, and IaC tools (Ansible, Terraform).

If hired, you will be rewarded with an offer that includes:

1. 200k-250k salary
2. Performance Bonus
3. RSUs
4. Health Benefits
5. 401k
6. PTO
7. Opportunity to work with cutting-edge AI and HPC infrastructure
8. Collaborative, fast-paced environment