Nava

About the Role
Nava is building Asia's next-generation AI Neo cloud platform. Backed by a recent $22M Series A&nbsp;led by Greenoaks Capital, we are rapidly scaling our AI-native GPU platform across APAC. We are&nbsp;significantly expanding our purpose-built AI datacenter footprint and compute capacity across key&nbsp;regional hubs to power active customers.
We are looking for a Principal / Distinguished Solution Architect to lead the architecture of large-scale customer AI infrastructure environments. This is a highly impactful, senior individual-contributor role for a visionary technologist who can operate seamlessly from high-level customer&nbsp;strategy down to deep technical design and production delivery.
What You Will Do
<ul>
<li>Strategic Advisory: Serve as a trusted technical advisor to strategic customers, engaging&nbsp;directly with CTOs, infrastructure, platform, and engineering teams.</li>
<li>End-to-End Design: Translate complex workload, scale, performance, security, availability, and&nbsp;operational requirements into elegant, high-performing architectures.</li>
<li>Infrastructure at Scale: Design massive-scale GPU infrastructure spanning compute,&nbsp;InfiniBand / ROCE / RDMA fabrics, high-performance storage, Kubernetes / Slurm&nbsp;orchestration, security, observability, SRE, and datacenter connectivity.</li>
<li>Deep System Integration: Drive the complex integration of hardware fabrics, orchestration&nbsp;layers, and tenant environments to ensure optimal performance of distributed AI training andI&nbsp;nference workloads.&nbsp;</li>
<li>Technical Leadership: Lead architecture workshops, high-level/low-level designs (HLD/LLD),&nbsp;capacity sizing, BOM creation, design reviews, and production-readiness decisions.</li>
<li>Product Influence: Collaborate intimately with the Nava Product &amp; Engineering team to shape&nbsp;our platform capabilities based on real-world customer requirements.</li>
<li>Ecosystem Partnership: Partner with leading GPU, server, networking, storage, security, and&nbsp;software vendors to build seamlessly integrated solutions.&nbsp;</li>
<li>Lifecycle Ownership: Stay deeply engaged through the entire lifecycle—from architecture and&nbsp;deployment to validation and production readiness—resolving intricate cross-stack issues.</li>
<li>Engineering Standards: Pioneer reusable reference architectures, design patterns, and&nbsp;engineering frameworks that scale across customers and regions.</li>
</ul>
What We Are Looking For
<ul>
<li>Architectural Excellence: Exceptional systems architecture depth spanning compute,&nbsp;networking, storage, distributed systems, and modern cloud infrastructure.&nbsp;</li>
<li>Domain Expertise: Deep, hands-on experience with advanced GPU infrastructure, HPC,&nbsp;Kubernetes, Slurm, high-performance networking, or hyperscale platforms.</li>
<li>Complex Problem Solving: A proven track record of solving cross-stack technical bottlenecks&nbsp;and making pragmatic design trade-offs across performance, reliability, scalability, security, and&nbsp;cost.</li>
<li>Executive Communication: The ability to engage confidently with customer engineering&nbsp;teams, senior technology leaders, and internal/external product partners.</li>
<li>Impact Driven: Strong leadership influence without formal authority, and a history of&nbsp;transforming whiteboard architectures into robust production outcomes.</li>
</ul>
Ideal Background
Ideal candidates will have held roles such as Principal Engineer, Distinguished Engineer, Principal&nbsp;Architect, Field CTO, or senior Customer Engineering / Solution Architecture at hyperscalers, GPU&nbsp;cloud providers, AI infrastructure innovators, HPC organizations, or large-scale platform teams.
The Opportunity: This is a rare opportunity to define how large-scale AI infrastructure is
architected and delivered across APAC. You will remain deeply technical, stay close to
customers, and play a pivotal role alongside an elite engineering team to build the future of AI
infrastructure.