Senior Datacenter Infrastructure Architect

NVIDIA Corporation; Singapore; On-site; SGD 150,000 - 190,000; Full time

Job summary

NVIDIA is seeking a Senior MEP Engineer to join the NVIS Solutions Architect for Datacenter Infrastructure team. You will lead planning and deployment of AI data centers focusing on power, cooling, telemetry, and control systems, ensuring alignment with NVIDIA reference architectures and industry standards.

You will collaborate with product and engineering teams, customers, and partners to ensure scalable, reliable data center infrastructure across layers, supervise design and construction, and

Qualifications

• Bachelor's degree in Engineering, Computer Science, Information Technology, or a related field.
• Advanced degree or equivalent experience or relevant certifications preferred.
• 10+ years of overall experience in enterprise and/or hyperscale data centers with focus on design and construction.
• Validated experience in data center engineering, operations, or infrastructure management roles, focusing on large-scale data center deployments.
• Strong technical knowledge and experience in data center systems - power distribution, liquid cooling, rack/server chassis and cabling.
• Demonstrated technical and project leadership under fluid situations.
• Excellent analytical, problem-solving, and decision-making skills, keen attention to detail, and a commitment to quality.
• Effective communication and interpersonal skills, with the ability to interact expertly with diverse collaborators including customers and facilitate productive discussions.
• Organization & Time Management – able to plan, schedule, and coordinate tasks related to the job to achieve goals within or ahead of established time frames.
• Willingness to travel (40%).
• Relevant certifications BICSI CNCDP FOA Data center - CFOSDC - certified fabrics optics specialist.

Responsibilities

• NVIS Data center deployment planning: Collaborate with product and engineering teams to understand NVIDIA’s reference architectures and guidance for data center infrastructure including power distribution, cooling systems, controls and monitoring and network/cabling architecture.
• Design and construction oversight: Review and evaluate customers' and partners' infrastructure design plans, ensuring consistency with NVIDIA reference architecture, industry standards, and regulatory requirements.
• Pre-deployment audits and planning: Develop and implement comprehensive audit plans to assess data center infrastructure components' operational efficiency, reliability, and readiness prior to deployment of AI/HPC clusters.
• Partner ecosystem: Develop and sustain a strong ecosystem of service providers and partners as needed, to ensure customers’ can deploy NVIDIA solutions rapidly and reliably.
• Act as the NVIS mentor providing guidance, mentorship, and support to ensure the team's success in their respective roles.
• Quality Assurance: Establish and enforce quality assurance processes to verify that deployments meet established specifications and performance benchmarks.
• Continuous Improvement: Drive continuous improvement initiatives to enhance data center infrastructure reliability, resilience, and sustainability.
• Collaboration and Communication: Collaborate and communicate across internal teams, external vendors, and customers to facilitate the seamless integration of data center infrastructure solutions.

Skills

Data center infra

Power distribution

Cooling systems

Project leadership

Stakeholder communication

Travel readiness

Education

Bachelor's degree in Engineering or related field

Advanced degree or certifications preferred

Tools

BICSI CNCDP

FOA Data Center Optics

Job description

NVIDIA is seeking a Senior MEP Engineer to join the NVIS Solutions Architect for Datacenter Infrastructure team. You will lead planning and deployment of AI data centers focusing on power, cooling, telemetry, and control systems, ensuring alignment with NVIDIA reference architectures and industry standards.

You will collaborate with product and engineering teams, customers, and partners to ensure scalable, reliable data center infrastructure across layers, supervise design and construction, and