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