---
title: 'Staff Network Engineer at TensorWave'
canonical: 'https://feeny.ai/job/staff-network-engineer-tensorwave-remote-1cam6sag44fk'
type: 'job'
last_seen: '2026-11-03'
---

# Staff Network Engineer at TensorWave

- **Company:** TensorWave
- **Location:** Remote
- **Employment:** full-time
- **Work type:** remote
- **Posted:** 2026-10-30
- **Last confirmed live:** 2026-11-03
- **Apply:** https://jobs.ashbyhq.com/tensorwave/ffbb8ec2-16e8-4f5c-91ff-bf60786e4f47

## Job 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 Staff Network Engineer (L6/L7) focused on designing, scaling, and optimizing large-scale RoCEv2 data center networks powering next-generation AI and ML infrastructure. You’ll work closely with network architects and infrastructure leadership to execute network designs and ensure operational stability as we scale cluster sizes to over 100,000 GPUs. You will drive multi-team technical direction, influence cross-functional outcomes, and own critical components of network performance and reliability. You’ll remain hands-on with high-speed optics, switching, routing, and congestion management in production clusters, while developing the standards and automation tooling that other engineers build and operate against.

## What You’ll Do

- Set multi-team technical direction and influence cross-functional network architecture decisions to ensure seamless infrastructure scaling.
- Design, deploy, and optimize large-scale RoCEv2 data center networks supporting AI and ML clusters from thousands to 100,000+ GPUs.
- Implement and tune congestion management protocols across RDMA fabrics, including PFC, ECN, and DCQCN, based on real production telemetry.
- Build and standardize automation, validation, and observability patterns that prevent misconfiguration and reduce manual operational overhead.
- Serve as a senior technical escalation point for complex network failures and actively mentor mid-level engineers in advanced troubleshooting and design.

## Who You Are

Required Qualifications

- 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 environments supporting AI or HPC workloads.
- Advanced knowledge of switching hardware and 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, AEC, AOC, DAC, and structured cabling at scale.
- Strong automation mindset, with experience using Python, Ansible, Terraform, Git, and production observability tooling.
- Demonstrated ability to autonomously solve complex, novel problems and translate broad architectural goals into executable project plans.

## 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.

## About TensorWave

## Company Overview
- **One-liner**: TensorWave is an AMD-exclusive AI cloud provider offering bare-metal and cloud infrastructure for training, fine-tuning, and inference of large-scale AI models.
- **Entity Type**: Private (Series B)
- **Headquarters**: Las Vegas, Nevada, United States
- **Founded**: 2023
- **Founders**: Darrick Horton (CEO & Founder)

## Core Business
- **Primary Industry**: AI Cloud Infrastructure / GPU-as-a-Service
- **Target Customers**: Enterprises, research institutions, AI engineering teams (B2B)
- **Mission / Purpose**: “We empower the next wave of AI – building seamless, secure, reliable, and resilient AI infrastructure at scale, eliminating barriers and challenging the status quo to empower builders and support AI innovation.” ([tensorwave.com/about](https://tensorwave.com/about))

## Products & Services
- **TensorWave AI Cloud (Bare Metal)**: Dedicated, high-performance compute instances built on the latest AMD Instinct™ accelerators (MI300X, MI325X, MI355X, MI455X). Offers zero virtualization overhead, direct hardware access, and full control. Supports popular frameworks (PyTorch, TensorFlow, etc.) with plug-and-play compatibility. Includes 24/7 monitoring, SOC 2 Type II, ISO 27001, and HIPAA compliance. ([tensorwave.com](https://tensorwave.com/))

## Market Standing
- **Valuation**: Not publicly available
- **Key Metric (Funding)**: Total funding of **$498M** (conflicting reports – some sources list $146.7M prior to the latest round). The most recent round is a **$350M Series B** announced in mid-2025. ([cbinsights.com](https://www.cbinsights.com/company/tensorwave))
- **Notable Investors / Partners**: AMD Ventures, Magnetar Capital, Nexus Venture Partners, FundNV
- **Growth Signals**: Headcount grew **141.5% YoY** to ~87 employees; 30 active job postings; monthly LinkedIn follower growth of 3.8% (12,347 followers); expansion into South Korea.

## Competitive Advantages
- **AMD‑Exclusive Cloud**: Offers the only major cloud built entirely on AMD Instinct accelerators, providing a vendor‑neutral alternative to NVIDIA‑dominated platforms.
- **No Vendor Lock‑in**: Open ecosystem (ROCm, standard libraries) lets teams avoid proprietary CUDA lock‑in, future‑proofing AI workloads.
- **Massive Memory & Bandwidth**: MI355X/MI455X accelerators deliver extreme HBM capacity for largest frontier models.
- **Enterprise Readiness**: SOC 2, ISO 27001, HIPAA compliance, hands‑on solution engineers, and dedicated support.

## Strategic Focus
- **Scaling AMD GPU Capacity**: Aggressively expanding data center footprint (Las Vegas and international) to meet surging demand for AI compute.
- **Open Infrastructure**: Continuing to build open, interoperable tools and services that reduce reliance on single‑vendor ecosystems.
- **Customer‑First Engineering**: Providing dedicated solution engineers and expert support to ensure seamless onboarding and scaling for AI teams.

## Why Work Here
- **Cutting‑Edge Work**: Build and operate the infrastructure powering the next wave of AI models, working directly with AMD’s latest hardware.
- **Tight‑Knit, Growing Team**: Flat hierarchy with a “tight‑knit team” culture; rapid headcount growth means early employees have outsized impact.
- **Engineering‑Heavy Opportunities**: Active openings for Staff Infrastructure Engineers (Kubernetes, Virtualization), Security Engineers, ML Engineers, Data Center Technicians, and more. ([jobs.ashbyhq.com/tensorwave](https://jobs.ashbyhq.com/tensorwave))
- **Location & Flexibility**: Headquarters in Las Vegas, NV; presence in South Korea; remote/hybrid policy not publicly specified.
- **Perks**: Not publicly available; however, the company emphasizes a collaborative environment and direct mentorship from senior leadership.

## Sources
1. [tensorwave.com](https://tensorwave.com/)
2. [tensorwave.com/about](https://tensorwave.com/about)
3. [linkedin.com/company/tensorwave](https://www.linkedin.com/company/tensorwave)
4. [cbinsights.com/company/tensorwave](https://www.cbinsights.com/company/tensorwave)
5. [jobs.ashbyhq.com/tensorwave](https://jobs.ashbyhq.com/tensorwave)

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