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Network Automation Lead

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Logo of TensorWave

TensorWave

11 - 50 employees

🤖 Artificial Intelligence

🏢 Enterprise

☁️ SaaS

Artificial Intelligence • Enterprise • SaaS

TensorWave is a cutting-edge AI compute company offering advanced solutions for enterprises focusing on training, fine-tuning, and inference. Powered by AMD's Instinct MI300X accelerators, TensorWave delivers a cost-effective and high-performance alternative to Nvidia's H100 chip. The company provides options for both bare-metal nodes and fully-managed Kubernetes clusters, ensuring ease of use with native support for PyTorch and TensorFlow. TensorWave is committed to data security with SOC2 Type II and HIPAA compliance, making it a reliable partner for businesses requiring dedicated and secure environments.

📋 Description

• Own the end-to-end zero-touch provisioning pipeline from bare-metal switch boot through production readiness with zero human intervention • Build intent-based configuration generation using network source-of-truth/IPAM data, GitOps deployment, validation, and safe rollout/rollback • Establish network validation and pre-deployment snapshot/digital-twin testing • Build streaming telemetry, metrics, and logging pipelines using gNMI/OpenConfig • Instrument RoCE health, optics and link errors, BGP/EVPN state, capacity, and utilization • Deliver actionable dashboards and alerting for the network team • Gather requirements and build self-service APIs and interfaces • Partner with Network Engineering so tooling reflects network operations and turn-up processes • Hire, mentor, and grow a team of software engineers and SREs • Own roadmap, prioritization, delivery, technical direction, and engineering standards • Ensure integration with infrastructure provisioning, CI/CD, secrets, identity, and observability tooling • Apply software engineering rigor through code review, testing, release management, and on-call ownership

🎯 Requirements

• 8+ years of relevant experience • Proven experience building network automation at scale, ideally at a hyperscaler, large cloud, or large-scale datacenter/AI-infrastructure operator • Experience building or being a core contributor to an end-to-end ZTP/device-provisioning system • Strong software engineering fundamentals in Python and/or Go • Production experience with version control, testing, CI/CD, code review, release management, and on-call • Hands-on experience with datacenter Clos fabrics • Knowledge of BGP, EVPN/VXLAN, and ideally RoCEv2/RDMA for GPU networks at scale • Fluency with gNMI/gNOI, OpenConfig/YANG, NETCONF, source-of-truth systems such as NetBox/Nautobot, NOS platforms such as SONiC/FRR or vendor equivalents, and Nornir/NAPALM/Ansible • Experience with observability and telemetry pipelines such as Prometheus, Grafana, Kafka, or OpenTelemetry • Experience running services on Kubernetes/containers • Leadership experience managing a team or serving as clear technical owner of a platform • Preferred: GPU/AI training or inference clusters and backend networks • Preferred: AMD networking ecosystem, Pensando DPUs, Ultra Ethernet, or Ethernet-based RDMA fabrics • Preferred: whitebox/disaggregated networking and SONiC at scale • Preferred: network validation/digital-twin tooling such as Batfish or containerlab • Preferred: multi-site/multi-region datacenter buildouts • Authorization to work in the United States is required

🏖️ 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

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