TensorWave

Principal Network Engineer

TensorWave Las Vegas, Nevada, United States

Technology, Information and Internet · 51-200 employees

Jul 31
Remote network-engineer Principal (10+ yrs) Full-time United States
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About the role

You will own the front-end network architecture for large-scale AI and GPU-accelerated infrastructure, including DCI, edge, and control-plane networks. You will also lead hands-on deployment, validation, and troubleshooting while collaborating with cross-functional teams to deliver scalable network solutions.

What they look for

Network Architecture Data Center Networking BGP Traffic Engineering Ethernet Fabrics Kubernetes Networking Routing Segmentation Isolation Strategies Optical Standards DWDM Network Automation Python Go Bash GPU Cluster Environments

Requirements

Candidates must have 10+ years of data center networking experience and a bachelor's degree in a technical field or equivalent practical experience. Strong expertise in large-scale Ethernet fabrics, BGP, and multi-vendor network environments is required.

Benefits

Stock Options Medical Insurance Dental Insurance Vision Insurance Health Savings Account Short Term Disability Insurance Long Term Disability Insurance Life Insurance Voluntary Supplemental Insurance Pet Insurance Legal Insurance Virtual Healthcare Appointments Serious Illness Support Flexible Spending Account 401(k) Employee Assistance Program Flexible PTO Paid Holidays Parental Leave

Full description

About TensorWave

Our mission is simple: deliver seamless, secure, reliable, and resilient AI compute at scale. We've built a versatile cloud platform that eliminates infrastructure barriers, empowering builders to focus on innovation instead of fighting their stack. Because breakthrough AI should move at the speed of ideas, not infrastructure.

 

About the Role

We’re seeking a Principal Network Engineer (L7) focused on owning and evolving large-scale, RoCEv2 data center networks powering next generation AI and ML infrastructure. You’ll work closely with our network architect and infrastructure leadership to define how the network is designed, implemented, and operated at scale, keeping over 8,000 GPUs burring today and scaling to cluster sizes reaching over 100,000 GPUs. You will be responsible for the architectural decisions that determine performance, reliability, and operational sanity at scale.

You’ll remain hands-on with high-speed optics, switching, routing, and congestion management in production clusters, while also setting the standards, patterns, and tooling other engineers build and operate against.

 

What You’ll Do

  • 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

 

Essential Skills & 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.

 

What We Offer

  • 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

 

Equal Employment Opportunity

TensorWave is an Equal Opportunity Employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We do not discriminate on the basis of any protected status under applicable law.

 

Reasonable Accommodations

TensorWave provides reasonable accommodations in accordance with applicable laws. If you require accommodation during the hiring process, please contact accomodations@tensorwave.com.

 

Employment Eligibility

All offers of employment are contingent upon verification of identity and authorization to work in the United States, as required by law.

 

Background Checks

Where permitted by law, employment may be contingent upon the successful completion of a job-related background check.

 

Data Privacy Notice

By submitting an application, you acknowledge that TensorWave may collect, use, and retain your personal information for recruiting and employment-related purposes in accordance with applicable data privacy laws.

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