TensorWave
Staff Network Engineer
Remote · Remote · Staff · Full-time · Posted Oct 30, 2026
- Education
- Bachelor’s degree in Computer Science, Electrical Engineering, or a related technical field, or equivalent practical experience.
- Visa sponsorship
- All offers are contingent upon verification of identity and authorization to work in the United States, as required by law.
About the job
Designs, deploys, and operates large-scale RoCEv2 data center networks for AI and ML infrastructure, while guiding technical direction and improving network reliability and automation.
What you'll do
- Design, deploy, and optimize RoCEv2 networks for AI and ML clusters scaling to 100,000+ GPUs.
- Tune RDMA congestion management using production telemetry and build automation, validation, and observability standards.
- Resolve complex network failures, set cross-team technical direction, and mentor engineers.
What they ask for
- Bachelor’s degree in Computer Science, Electrical Engineering, or a related technical field, or equivalent practical experience.
- Extensive experience deploying and operating RDMA and RoCEv2 networks in large-scale production AI or HPC environments.
- Advanced knowledge of switching hardware and NOS, including high-speed Ethernet fabrics; hands-on experience with PFC, ECN, and DCQCN.
- Experience with high-speed optics and cabling, plus automation using Python, Ansible, Terraform, Git, and production observability tooling.
Tools
RoCEv2, RDMA, PFC, ECN, DCQCN, SONiC, Python, Ansible
AI focus
Supports AI and ML infrastructure by designing and optimizing large-scale networks for GPU clusters.
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