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Principal Network Engineer

TensorWave· Engineering
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RemoteFull-timePosted 2mo ago

About the role

Principal Network Engineer (L7) focused on owning and evolving large-scale RoCEv2 data center networks powering AI and ML infrastructure; responsible for architectural decisions to optimize performance, reliability, and operations at exascale, while remaining hands-on with high-speed optics, switching, routing, and congestion management.

Responsibilities

  • As a Principal Engineer, you own end-to-end network architecture, make high-impact design decisions, and set technical direction across teams, with clear examples of systems you’ve defined and scaled
  • Define, evolve, and standardize large-scale RoCEv2 data center networks supporting AI and ML clusters from thousands to 100,000+ GPUs
  • Set and validate congestion management strategy across RDMA fabrics, including PFC, ECN, and DCQCN, based on real production behavior
  • Establish automation, validation, and observability patterns that prevent misconfiguration and eliminate manual operational work
  • Act as the technical escalation point for complex failures, scaling limits, and architectural tradeoffs in always-on, multi-tenant environments

Qualifications

  • Bachelor’s degree in Computer Science, Electrical Engineering, or a related technical field, or equivalent practical experience
  • Deep experience designing and operating RDMA and RoCEv2 networks in large-scale production environments supporting AI or HPC workloads
  • Expert-level knowledge of switching hardware and their NOS, such as Arista, Juniper, and custom solutions using SONiC, including high-speed Ethernet fabrics
  • Proven hands-on experience with congestion management and performance tuning using PFC, ECN, and DCQCN
  • Strong experience with high-speed optics and cabling including 400G, 800G, and AEC, AOC, DAC, and structured cabling at scale
  • Strong automation mindset, with experience using Python, Ansible, Terraform, Git, and production observability tooling
  • We’re looking for engineers who operate comfortably at scale, make hard calls with incomplete data, and take responsibility for systems that must work under sustained load. The solutions that work on a handful of devices will not work at Exascale.

Skills

Required:RoCEv2 / RDMA network design and operationNetwork architecture leadershipCongestion management (PFC, ECN, DCQCN)Automation / SRE tooling

Benefits

  • Stock Options
  • 100% paid Medical, Dental, and Vision insurance for Employees
  • Company Health Savings Account Contributions
  • 100% paid Short Term and Long Term Disability Insurance for Employees
  • Life and Voluntary Supplemental Insurance Options
  • Other Insurance Options, such as Pet & Legal Insurance
  • Various Supplementary Health Benefits, such as discounted Virtual Healthcare Appointments and Serious Illness Support
  • Flexible Spending Account
  • 401(k)
  • Employee Assistance Program
  • Flexible PTO
  • Paid Holidays
  • Parental Leave
  • Other In-Office Perks
Last updated Aug 27, 2026. Interested? Apply on the company site.
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Next-Gen AI Infrastructure

TensorWave: AI & HPC Cloud with AMD Instinct™

AI inferencemanaged inferenceLLM inferenceAI model deploymentlow-latency inferencescalable AIAI autoscalingGPU inference
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