Principal / Distinguished Solution Architect

Nava; Singapore; On-site; SGD 180,000 - 300,000; Full time

Job summary

Nava is building Asia's next-generation AI Neo cloud platform and expanding its AI datacenter footprint across APAC. You will shepherd architectural design and leadership for massive-scale GPU infrastructure, collaborating with customers, engineering, and ecosystem partners to deliver high-performance, secure, and scalable AI workloads.

As a senior technologist, you will drive end-to-end design decisions, guide multi-region deployments, and influence product directions while remaining deeply

Qualifications

• Deep systems architecture spanning compute, networking, storage, and cloud infra.
• Hands-on experience with advanced GPU infrastructure, HPC, or hyperscale platforms.
• Proven ability to resolve cross-stack bottlenecks and balance performance, reliability, and cost.

Responsibilities

• Serve as trusted technical advisor to strategic customers including CTOs and engineering teams.
• Translate workload, scale, performance, security, and availability requirements into scalable architectures.
• Design large-scale GPU infrastructure across compute, networking, and storage fabrics.
• Lead architecture workshops and produce high/low level designs and BOMs.
• Collaborate with product and engineering to shape platform capabilities based on customer needs.
• Partner with GPU/server/networking vendors for integrated solutions.
• Drive lifecycle ownership from deployment to production readiness, addressing cross-stack issues.
• Develop reusable reference architectures and engineering patterns for scalability.
• Ensure security, observability, and SRE practices across regions.

Skills

Architectural depth

GPU infrastructure

Kubernetes

Slurm

Executive communication

Tools

Kubernetes

Slurm

InfiniBand/RDMA

Job description

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.

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