Nava

About Nava
Nava is building next-generation AI infrastructure and inference platforms designed to power the future of AI. We are looking for a Head of GPU Cluster Engineering to lead the architecture, deployment, and operations of large-scale GPU clusters.
This is a highly strategic leadership role responsible for defining the engineering vision, driving execution across multiple infrastructure domains, and ensuring our GPU platforms deliver world-class performance, scalability, and reliability.
What You'll Do
Platform Leadership
<ul>
<li>Own end-to-end engineering outcomes, from reference architecture through production operations.</li>
<li>Define the technical vision, architecture, and operating model for large-scale GPU infrastructure.</li>
<li>Establish engineering standards, design principles, and operational excellence across the platform.</li>
<li>Drive platform scalability, resiliency, and performance to support rapidly growing AI workloads.</li>
</ul>
Architecture &amp; Technical Strategy
<ul>
<li>Lead the design and evolution of GPU cluster architectures across compute, networking, storage, orchestration, and observability.</li>
<li>Evaluate and drive technology decisions around GPUs, interconnects, storage, Kubernetes, scheduling, and AI infrastructure software.</li>
<li>Review and approve architecture decisions while balancing performance, reliability, cost, and operational complexity.</li>
<li>Drive infrastructure standardization and automation across deployments.</li>
</ul>
Cross-Functional Leadership
<ul>
<li>Lead execution across multiple engineering pillars:
<ul>
<li>GPU Compute</li>
<li>High-Speed Networking</li>
<li>Storage</li>
<li>Platform Engineering</li>
<li>Site Reliability Engineering (SRE)</li>
<li>Infrastructure Automation</li>
</ul>
</li>
<li>Partner closely with Product, Supply Chain, Data Centre Operations, and Customer Success teams to ensure successful platform delivery.</li>
<li>Act as the technical escalation point for critical engineering decisions.</li>
</ul>
Delivery &amp; Operational Excellence
<ul>
<li>Own engineering readiness gates from design through production deployment.</li>
<li>Drive release planning, operational reviews, risk assessments, and post-incident analysis.</li>
<li>Establish SLAs, SLOs, and operational metrics for platform health and reliability.</li>
<li>Champion automation, observability, incident management, and continuous improvement across the engineering organization.</li>
</ul>
Team Leadership
<ul>
<li>Build, mentor, and scale a high-performing engineering organization.</li>
<li>Develop technical leaders across infrastructure disciplines.</li>
<li>Foster a culture of engineering excellence, ownership, collaboration, and innovation.</li>
<li>Support hiring and talent development for critical infrastructure roles.</li>
</ul>
What We're Looking For
<ul>
<li>12+ years of experience in infrastructure engineering, distributed systems, cloud platforms, or AI infrastructure.</li>
<li>Proven experience leading large-scale infrastructure or platform engineering teams.</li>
<li>Deep understanding of GPU clusters, AI infrastructure, HPC, or large-scale distributed systems.</li>
<li>Strong expertise across:
<ul>
<li>GPU Compute (NVIDIA ecosystem preferred)</li>
<li>High-performance networking (InfiniBand, RoCE, RDMA)</li>
<li>Kubernetes and container orchestration</li>
<li>Distributed storage systems</li>
<li>Infrastructure automation and observability</li>
<li>Linux systems and platform engineering</li>
</ul>
</li>
<li>Experience designing highly available, scalable production infrastructure.</li>
<li>Strong architectural thinking with the ability to balance technical excellence and business priorities.</li>
<li>Excellent stakeholder management and cross-functional leadership skills.</li>
</ul>
Nice to Have
<ul>
<li>Experience building AI factories, GPU cloud platforms, or large-scale inference infrastructure.</li>
<li>Familiarity with CUDA, NCCL, Slurm, Ray, Kubeflow, or similar AI infrastructure technologies.</li>
<li>Experience working with hyperscalers, cloud providers, or AI-first technology companies.</li>
<li>Exposure to multi-region or global infrastructure deployments.</li>
</ul>
Why Join Nava?
<ul>
<li>Build one of the world's leading AI infrastructure platforms.</li>
<li>Lead the engineering strategy behind next-generation GPU clusters and AI factories.</li>
<li>Work alongside world-class engineers solving some of the most challenging infrastructure problems in AI.</li>
<li>Shape the future of AI infrastructure from architecture through production at global scale.</li>
</ul>