Datacenter Engineer (AI Infrastructure) - Hosting

Hamilton Barnes Associates Limited; Singapore; On-site; SGD 160,000 - 220,000; Full time

Benefits offered by this job

10% bonus

Stock options

Job summary

A specialized technology recruitment firm in Singapore seeks a hands-on technical leader to drive AI infrastructure projects. You will oversee the deployment of high-performance GPU clusters, manage the optimization of physical setups, and ensure effective coordination with engineering teams. Ideal candidates have over 4 years of experience in datacenter operations, deep knowledge of NVIDIA platforms, and a hands-on approach to hardware management. This role offers competitive compensation and benefits, including a bonus and stock options.

Qualifications

• 4+ years in datacenter engineering or hardware operations.
• Deep familiarity with NVIDIA HGX/DGX platforms.
• Hands-on experience with high-speed networking.

Responsibilities

• Oversee the installation of large-scale GPU clusters.
• Manage power density and thermal loads.
• Partner with engineering to solve physical problems.
• Act as the technical lead for hardware deliveries.
• Create playbooks and documentation.
• Coordinate with software teams for integration.

Skills

Datacenter engineering

High-density compute environments

NVIDIA HGX/DGX platforms

High-speed networking

Cable management

Technical communication

Bias for action

Job description

Looking to take a leadership role in AI and high-performance computing while working on next‑generation GPU infrastructure?

Join a technology team delivering scalable GPU computing solutions and global infrastructure for AI and compute‑intensive workloads. The organization is seeking a hands‑on technical leader to spearhead the physical deployment of AI Factories, overseeing thousands of H100 and B200 GPUs across high‑performance clusters. As a Founders Fund‑backed NVIDIA cloud partner, the team powers foundation model training and enterprise AI, providing team members with rare exposure to both cutting‑edge hardware and complex infrastructure challenges. This role operates at the intersection of silicon, networking, and cooling, offering opportunities to deploy, manage, and optimise high‑performance systems while collaborating with experienced engineers in a fast‑paced, innovative environment.

Apply now to drive impactful AI infrastructure projects and advance a career at the forefront of AI computing.

Responsibilities

• Lead GPU Deployments: Oversee the end‑to‑end installation of large‑scale GPU clusters, ensuring every server, switch, and cable is configured for maximum performance and reliability.
• Optimise Physical Infrastructure: Work directly with datacenter operators to manage power density, thermal loads, and space planning for high‑wattage AI hardware.
• Troubleshoot Hardware at Scale: Partner with engineering to solve "hard" physical problems—from firmware bugs and faulty optics to complex network degradation within the cluster.
• Own Vendor & Supply Chain: Act as the technical lead for hardware deliveries, managing quality control, onsite technicians, and vendor accountability to ensure zero delays in capacity expansion.
• Standardise Operational Discipline: Create the playbooks, labelling standards, and documentation that ensure our global datacenter footprint runs like a well‑oiled machine.
• Bridge the Physical & Digital: Coordinate with our software teams to ensure that physical deployments integrate seamlessly with our orchestration layers and monitoring tools.

Skills / Must‑have

• Proven Infrastructure Experience: 4+ years in datacenter engineering or hardware operations, specifically working with high‑density compute environments.
• GPU & High‑Perf Compute Knowledge: Deep familiarity with NVIDIA HGX/DGX platforms and the unique power and cooling requirements of modern GPUs.
• Networking Expertise: Hands‑on experience with high‑speed networking, including InfiniBand, RoCE, and leaf‑spine architectures.
• Hardware Craftsmanship: A "no compromises" approach to cable management, labelling, and physical organisation; you understand that messy racks lead to messy outages.
• Technical Communication: Ability to coordinate effectively with onsite datacenter staff, remote engineering teams, and high‑level stakeholders.
• Bias for Action: You thrive in the "racking" phase—you see a deployment bottleneck and take immediate ownership to clear it.

Benefits

• 10% bonus
• Stock options

Salary

• S$160,000 – S$220,000+ (Based on experience and specialised hardware certifications)