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Salary
$92k – $196k per year (Estimated)
Location
In office
Seniority
Senior · 5+ years exp
Employment
Full-Time
Overview
Company
Impact
Profile match
TensorWave is an American cloud infrastructure company headquartered in Las Vegas, Nevada, and founded in 2023. The company provides a specialized AI cloud platform powered by AMD Instinct accelerators, offering bare metal instances, managed Kubernetes, and high-speed storage for large-scale model training and inference. It serves enterprise clients and AI research teams globally, positioning itself as a high-performance alternative to NVIDIA-based cloud providers through its focus on open-source ROCm software and cost-efficient scaling.

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 looking for a Senior Network Engineer - Operations who is responsible for the day-to-day operation, maintenance, automation, and on-call support of large-scale data center networks supporting AI and GPU workloads. Scripting and tooling skills are a differentiator to reduce toil and speed incident resolution.

What You’ll Do

  • Operate and maintain large Ethernet fabrics

  • Participate in on-call rotation and incident response

  • Execute maintenance, upgrades, and hardware replacements

  • Troubleshoot latency, packet loss, and connectivity issues

  • Support continuous scale-out growth of production networks

  • Build or extend automation/tooling to streamline operations (Python/Go, Ansible, Git-backed workflows)

Who You Are

Required Qualifications

  • 5+ years data center network operations experience

  • Multi-Vendor & NOS Experience - Vendors: Juniper, Cisco, Arista, Whitebox, NOS: Junos, IOS/IOS-XE, NX-OS, EOS, SONiC

  • Hands-on experience with large Ethernet fabrics and edge networks

  • Strong understanding of scale-up vs scale-out architectures

  • Experience operating production networks at scale

Preferred Qualifications

  • 100G+ environments

  • Familiarity with optical standards and transceiver types (e.g., 100G/400G/800G, SR/LR/ER, DWDM)

  • AI, GPU, or HPC exposure

  • Automation/scripting to reduce operational toil (Python/Go/Ansible), network APIs/SDKs, CI/CD for network changes, telemetry/log parsing for rapid incident triage

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 [email protected].

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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