<div>Nava is a neocloud company purpose-built for the AI era. We design, deploy, and operate large-scale GPU infrastructure and deliver inference-as-a-service to teams building the next generation of AI products. Our platform runs on NVIDIA GPU systems, high-performance RDMA fabrics, and a fully automated, software-defined operations model. Every engineer at Nava works close to the metal, on infrastructure built to keep GPUs saturated and models serving.</div><div> </div>

Nava

About Nava&nbsp;&nbsp;
Nava is a neocloud company purpose-built for the AI era. We design, deploy, and operate large-scale GPU infrastructure and deliver inference-as-a-service to teams building the next generation of AI products. Our platform runs on NVIDIA GPU systems, high-performance RDMA fabrics, and a fully automated, software-defined operations model. Every engineer at Nava works close to the metal, on infrastructure built to keep GPUs saturated and models serving.&nbsp;&nbsp;
About the Role&nbsp;
The Network SRE &amp; Operations team owns operational reliability of Nava's production GPU network fabrics, from proactive telemetry to rapid mitigation and the long-term elimination of recurring failures.&nbsp;
Own production reliability of GPU cluster networking, including InfiniBand, RoCE, and Ethernet fabrics. Lead network monitoring, incident response, performance troubleshooting, capacity planning, operational automation, and continuous availability improvements.&nbsp;
What You’ll Do&nbsp;
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Own network availability, service indicators and error budgets across InfiniBand/RoCE, Ethernet and management fabrics.&nbsp;
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Lead severe incident diagnosis involving congestion, packet loss, RDMA failures, routing instability, link and optics faults.&nbsp;
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Build fabric telemetry, alerting, fault correlation and operational health dashboards.&nbsp;
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Automate configuration checks, safe changes, diagnostics, recovery and resilience testing.&nbsp;
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Coordinate network capacity and firmware lifecycle with deployment, platform and vendor teams.&nbsp;
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Lead network SRE engineers, incident reviews and prioritized reliability improvements.&nbsp;
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Correlate fabric telemetry (PFC pause, ECN marks, buffer occupancy, link flaps) with NCCL collective performance to detect congestion and silent packet loss before jobs degrade.&nbsp;
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Own lossless-RDMA health as an SLI — monitor PFC/ECN behavior and adaptive-routing balance via UFM (InfiniBand) and NetQ / Spectrum-X, and drive recurring-incident elimination against NCCL bus-bandwidth and PFC-pause targets.&nbsp;
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What You’ll Need&nbsp;
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10–15 years operating large production data center networks with team leadership.&nbsp;
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Deep BGP, EVPN/VXLAN, Linux networking and troubleshooting expertise.&nbsp;
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InfiniBand or RoCEv2, RDMA, PFC, ECN and congestion analysis skills.&nbsp;
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Python/Go/network automation, observability and incident leadership experience.&nbsp;
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Ability to correlate network failures with GPU distributed-workload behavior.&nbsp;
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Within that, hands-on GPU / AI-datacenter exposure is what we weigh most — we value demonstrated depth over years, as the field is still emerging.&nbsp;
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GPU/HPC fabric SRE, NCCL performance and advanced vendor telemetry.&nbsp;
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Background at hyperscalers or high-performance networking environments.&nbsp;
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