<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 operates and continuously improves production GPU network reliability through deep technical troubleshooting, observability, safe automation and recurring-incident prevention.&nbsp;
Maintain reliability of production GPU cluster networks. Troubleshoot fabric failures, congestion, packet loss, and performance degradation. Build monitoring, automate remediation, manage incidents, and continuously improve network availability.&nbsp;
What You’ll Do&nbsp;
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Monitor fabric health, utilization, interface errors, congestion and link instability.&nbsp;
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Debug routing, RDMA failures, packet drops, GPU communication degradation and outages.&nbsp;
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Build telemetry dashboards, alert rules, health checks and automated network diagnostics.&nbsp;
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Contribute to incident response, fault isolation, root-cause analysis and remediation.&nbsp;
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Execute safe change windows, firmware upgrades and resilience testing.&nbsp;
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Work with compute/storage SREs and OEMs on cross-domain performance problems.&nbsp;
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Monitor PFC pause, ECN marks, buffer occupancy and link flaps; correlate with NCCL collective performance to catch congestion and silent RDMA packet loss early.&nbsp;
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Operate UFM (InfiniBand) and NetQ / Spectrum-X telemetry; hold lossless-RDMA as an SLI 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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5–8 years in production network engineering or network SRE.&nbsp;
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BGP/EVPN, Linux networking, high-speed fabrics and advanced troubleshooting.&nbsp;
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Python/Go automation and operational monitoring experience.&nbsp;
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Proven responsibility for resolving live production incidents.&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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<li>InfiniBand/RoCE, PFC/ECN, RDMA and NVIDIA fabric tooling.&nbsp;</li>
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