GPU Network Engineer

Responsibilities

Design and deploy east-west network fabrics for GPU-to-GPU, rack-to-rack, and cluster-to-cluster communication at scale

Build and operate InfiniBand (NDR/XDR) and RoCEv2 interconnect fabrics as the primary transport for GPU cluster workloads

Implement CLOS/ECMP architectures optimized for high-bandwidth, low-latency, lossless data movement across GPU clusters

Benefits

Performance Bonus

RSUs

Health Benefits

401k

PTO

Opportunity to work with cutting-edge AI and HPC infrastructure

Collaborative, fast-paced environment

Hybrid work in Sunnyvale, CA, with 4 days working on-site

Glassdoor

3.8

CyberCoders is a recruiting firm locating job positions across all industries, including finance, education, engineering and healthcare.

Irvine, California, USA

http://www.cybercoders.com

Growth Stage

Total Funding

unknown

2013-12-02

Acquired

Leadership Team

Paul DiNunzio

Chief Financial Officer

Recent News

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Qualifications

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)

For this position, you must be currently authorized to work in the United States without the need for sponsorship for a non-immigrant visa

2+ years in data center or HPC networking, with direct experience in GPU or AI cluster environments.

Required skills

GPU Cluster Networking, InfiniBand, RoCEv2, HPC Networking, Data Center Networking, Kubernetes, KVM, Bare-Metal Networking, NetBox, NETCONF, Ansible, Terraform

Experience

2+ years