Senior GPU Hardware Architect

Role:
Senior GPU Hardware Architect

Function:
Hardware Engineering

Location:
Singapore

Type:
Full-time

Industry:
Cloud Infrastructure, AI/ML, Data Centers

About Company

Company is a heavily funded deeptech startup revolutionizing enterprise cloud operations with their AI-native private cloud platform. They automate orchestration, security, compliance, and workload management for hybrid cloud environments, helping enterprises optimize performance while reducing operational complexity. They are building the future of cloud infrastructure.

They are also setting up gigawatt-scale data centers across Southeast Asia, positioning themselves as the CoreWeave for SEA. Their fast-paced, engineering-driven team is expanding globally with gigawatt-scale data centers, building the GPU compute infrastructure that will power the next generation of AI applications across Asia.

Position Overview

You'll lead the design and implementation of gigawatt-scale AI data centers in Singapore. You own the complete hardware architecture for large-scale NVIDIA GPU clusters, from rack design to cooling systems and high-speed interconnects. This is a unique opportunity to build hyperscaler-grade AI infrastructure from the ground up in a fast-growing deeptech startup.

Role & Responsibilities

• Design and architect rack-level infrastructure for large-scale NVIDIA A100/H100 GPU clusters and AI workloads
• Develop power distribution and management systems for gigawatt-scale data center operations
• Design and implement liquid cooling solutions for high-density GPU deployments and thermal management
• Architect high-speed networking fabrics and interconnects for GPU-to-GPU communication at scale
• Lead hardware validation, testing, and optimization of GPU cluster performance and reliability
• Collaborate with data center teams to ensure seamless integration of hardware and facility infrastructure
• Drive vendor relationships and technical evaluations for GPU hardware, cooling, and networking components

Must Have Criteria

• 10+ years of experience in data center hardware architecture and large-scale infrastructure design
• Hands-on experience designing and deploying NVIDIA GPU clusters with 10,000+ GPUs
• Deep expertise in power systems design, distribution, and management for high-density computing environments
• Proven experience with liquid cooling system design and implementation for data center environments
• Strong background in high-speed networking fabrics, InfiniBand, and GPU interconnect technologies
• Experience with rack-level design, server architecture, and hyperscaler-grade infrastructure deployment
• Bachelor's or Master's degree in Electrical Engineering, Computer Engineering, or related technical field

Nice to Have

• Experience building infrastructure for hyperscale cloud providers or large AI companies
• Background in data center facility design, MEP systems, and gigawatt-scale operations
• Knowledge of AI/ML workload characteristics and performance optimization techniques
• Experience with NVIDIA DGX systems and CUDA ecosystem optimization
• Previous startup or fast-growth company experience in infrastructure or hardware roles

What We Offer

• Opportunity to build gigawatt-scale AI infrastructure from scratch in Singapore
• High ownership and impact in a well-funded deeptech startup with global ambitions
• Work with cutting-edge NVIDIA A100/H100 GPU technology and next-generation data center systems
• Competitive compensation package with equity participation in a high-growth startup
• Collaborative environment with seasoned tech veterans and engineering excellence focus