AI Infrastructure Lead (AI Inference Platform)

AI Infrastructure Lead (AI Inference Platform)Singapore | Permanent About Our ClientOur client is a publicly listed AI compute and data centre infrastructure provider and an NVIDIA partner. It runs the latest generations of GPU clusters, from H100 to GB300, across North America, Europe and Asia. Its customers include frontier AI labs, hyperscalers and leading internet companies, which buy high-performance GPU compute and full-lifecycle data centre capacity.As part of its APAC expansion, the company is building a new AI inference platform from Singapore and is hiring a founding technical leader to own it end to end.Why This RoleYou join at the ground floor and shape the architecture, tech stack and engineering culture from day oneYou build and lead the Singapore engineering teamYou work hands-on with large-scale, latest-generation GPU infrastructureYou work closely with the global infrastructure and engineering teams of a listed companyWhat You’ll DoArchitecture & Technical DirectionOwn the end-to-end architecture of the platform, covering AI inference services, GPU infrastructure, backend systems and platform operationsEvaluate technology options and lead key technical decisionsSet engineering standards, documentation practices and architecture best practicesReuse existing global infrastructure and engineering capabilities where it makes senseHands-on Engineering & DeliveryStay hands-on in system development, infrastructure integration and complex problem-solvingLead design reviews and resolve performance bottlenecks, scalability issues and technical risksDrive delivery while balancing performance, reliability, security and infrastructure costTeam BuildingHire, mentor and grow a high-performing engineering teamDefine technical competency standards and lead technical interviewsSet up engineering workflows and code review standards, and build a culture of ownership and continuous improvementGlobal CollaborationWork with global infrastructure, engineering and business teams, and coordinate dependencies across themTurn business objectives into technical priorities and execution plansCommunicate architecture decisions, progress and risks to stakeholdersWhat You Bring8+ years in software engineering, distributed systems, cloud or AI infrastructure, including technical leadership experienceA track record of designing and delivering production-grade distributed systems or infrastructure platformsStrong understanding of AI infrastructure, GPU computing and inference platform architectureHands-on experience with Linux, Kubernetes, containers and modern cloud infrastructureStrong programming skills in Python, Go, C++ or a comparable languageSound architectural judgement and the ability to assess engineering talentExcellent English communication and experience working across global teamsNice to HaveExperience building or operating AI inference platforms, GPU cloud or large-scale compute infrastructureFamiliarity with vLLM, TensorRT-LLM or SGLangKnowledge of GPU resource scheduling, distributed inference, model serving and performance optimisationExperience with platform reliability, observability and infrastructure automationExperience building teams or platforms from an early stageA background in AI infrastructure, cloud platforms, HPC or high-growth tech companiesAll applications will be treated with strictest confidence. We regret to inform you that only shortlisted candidates will be notified.EA Licence No: 19C9807Registration No: R22110556 (ZHOU DONGYANG)