AI Infrastructure Head, GPU Cloud & AI Platforms

Our client is a high-growth, NASDAQ-listed AI infrastructure and GPU cloud technology company and they are looking to hire an AI Infrastructure Head as it expands its presence in Asia Pacific. Operating at the forefront of AI compute, GPU infrastructure and next-generation cloud technologies, the company is entering an exciting phase of regional growth and platform development.

This is a foundational technical leadership opportunity to architect and build a next-generation AI inference platform from the ground up, drive critical technology decisions and establish a high-performing engineering team in Singapore.

Responsibilities:

• Own and drive the end-to-end architecture, technical strategy and engineering delivery of a scalable AI inference and GPU compute platform, from initial design through production deployment.
• Lead hands-on engineering and system development, integrating distributed systems, GPU infrastructure, AI inference services and cloud-native technologies while optimising performance, reliability and cost efficiency.
• Define technology stacks, engineering standards and architectural best practices, addressing complex challenges in scalability, infrastructure integration and platform performance.
• Build and lead the engineering team during this critical growth phase, including technical hiring, capability development, engineering workflows and technical governance.
• Collaborate with global engineering and infrastructure teams to accelerate platform development, leverage existing capabilities and translate business priorities into scalable technical solutions.

Requirements:

• Over 8 years of experience in software engineering, distributed systems, cloud infrastructure or AI infrastructure, with proven technical leadership and system architecture capabilities.
• Demonstrated experience designing, building and deploying production-grade distributed systems, cloud platforms or AI infrastructure solutions, ideally within high-growth technology environments.
• Strong hands-on expertise in Linux, Kubernetes, containers, cloud-native architecture and programming languages such as Python, Go or C++.
• Solid understanding of GPU computing, AI inference architecture, model serving and distributed infrastructure, with exposure to GPU cloud or large-scale compute environments highly advantageous.
• Familiarity with LLM inference frameworks (vLLM, TensorRT-LLM, SGLang), GPU resource scheduling, performance optimisation and infrastructure automation would be highly valued.
• A hands-on technical leader and builder who thrives in an early-stage environment, can make independent architectural decisions and is motivated by the opportunity to build technology platforms and engineering capabilities from the ground up.

Interested Here's what to do next:

Please apply to the role with a recent copy of your CV. We will be in touch once we review your profile for suitability.

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Singapore Employment Agency Personnel No.: R1109150

Singapore Employment Agency License No.: 16S8069

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