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    Job · 11623638

    Tensorwave logo

    Senior Network Engineer - Operations

    Tensorwave · Remote · remote · Posted 67d ago

    Not disclosed5+ yrsfulltimeSourced fromAshby

    About a minute. You'll make an account on the way through.

    About this role

    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 removed].

    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.

    Sourced from ashby

    Skills

    RecruitingIOSPythonAnsibleGITCi/Cd

    About Tensorwave

    Tensorwave logo

    Tensorwave

    Las Vegas

    US

    About

    TensorWave is an AMD-exclusive cloud platform that leverages AMD Instinct GPUs and ROCm for high-performance AI workloads. TensorWave provides cloud infrastructure designed for artificial intelligence workloads, offering access to AMD-powered GPU computing resources for model training, fine-tuning, and inference. The company delivers a full-stack AI platform that combines compute, storage, networking, orchestration, and managed services to support the deployment and scaling of machine learning applications. Its platform is built around AMD Instinct accelerators and supports widely used AI frameworks and tools, including PyTorch, TensorFlow, JAX, Hugging Face, and Kubernetes-based environments. TensorWave also offers enterprise capabilities such as workload monitoring, security controls, managed Kubernetes and Slurm services, and software layers that help organizations manage AI operations across the model lifecycle. The company focuses on providing open, scalable infrastructure that enables organizations to develop, train, and run AI models without relying on proprietary hardware ecosystems.

    Industries

    AI InfrastructureArtificial Intelligence (AI)Cloud ComputingCloud InfrastructureGenerative AI

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