GPU Network Engineer

Everforth, Cybercoders
  • Santa Clara, CA
  • $200,000–$250,000 Per Year
1 day ago

Job Description

Job Description

Job Description
GPU Network Engineer

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:

  • 3+ 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

If you are a GPU Network Engineer, please apply today!

- For this position, you must be currently authorized to work in the United States without the need for sponsorship for a non-immigrant visa. CyberCoders will consider for Employment in the City of Los Angeles qualified Applicants with Criminal Histories in a manner consistent with the requirements of the Los Angeles Fair Chance Initiative for Hiring (Ban the Box) Ordinance.This job was first posted by CyberCoders on 08/19/2026 and applications will be accepted on an ongoing basis until the position is filled or closed.Everforth CyberCoders is proud to be an Equal Opportunity Employer

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, age, sexual orientation, gender identity or expression, national origin, ancestry, citizenship, genetic information, registered domestic partner status, marital status, status as a crime victim, disability, protected veteran status, or any other characteristic protected by law. Our hiring process includes AI screening for keywords and minimum qualifications, and a virtual recruiter as part of the application process. A human recruiter reviews all results. Click here for details on our virtual recruiter .  Everforth CyberCoders will consider qualified applicants with criminal histories in a manner consistent with the requirements of applicable state and local law, including but not limited to the Los Angeles County Fair Chance Ordinance, the San Francisco Fair Chance Ordinance, and the California Fair Chance Act. Everforth CyberCoders is committed to working with and providing reasonable accommodation to individuals with physical and mental disabilities. Individuals needing special assistance or an accommodation while seeking employment can contact a member of our Human Resources team at Benefits@CyberCoders.com to make arrangements.

Salary

$200000 - $250000 USD per year

Numbers & Facts

LocationSanta Clara, CA
Salary$200,000–$250,000 Per Year

Skills

  • Alternative Energyunmatched
  • Ansibleunmatched
  • Artificial Intelligence (AI)unmatched
  • GPU (Graphics Processing Unit)unmatched
  • Health Planunmatched
  • K Virtual Machine (KVM)unmatched
  • NetConfunmatched
  • Network Architecture/Engineeringunmatched
  • Network Designunmatched
  • Network Operations Centerunmatched
  • State Laws and Regulationsunmatched
  • Team Playerunmatched

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