Data Center Engineer (461-1)

SproutsAI; Santa Clara (CA); On-site; USD 180,000 - 260,000; Part time

Job summary

NVIDIA is seeking a Data Center Engineering Lead (Contract) within the Infrastructure, Planning & Process division to architect and direct large-scale data center programs for the Cloud Platform and global AI product lifecycle.

You will drive readiness across power, cooling (air & liquid), rack deployment, and occupancy planning, coordinating with Facilities, Real Estate, and Operations. Leadership will require executive-level communication and clear milestones.

Qualifications

• Bachelor’s or Master’s degree in Electrical, Mechanical, or Data Center Engineering, Computer Engineering, or a related technical field.
• 7+ years designing and delivering complex data center or high-density compute facilities (hyperscale or enterprise level).
• Strong technical understanding of MW-level power distribution, cooling systems, and infrastructure reliability design principles.
• Experience leading cross-functional engineering integration across facilities, network, and operations.
• Proven ability to create and manage engineering KPIs, readiness metrics, and executive-level reporting around infrastructure health and capacity.
• Excellent communication skills, with the ability to distill complex engineering tradeoffs into actionable strategies for executive and technical audiences.

Responsibilities

• Lead Global Infrastructure Data Center Build out programs: Drive execution of super lab and data center buildouts from concept approval through operational readiness. Own coordinated schedules linking power delivery, cooling deployment, rack installation, network readiness, and occupancy planning. Establish and enforce launch readiness criteria across global sites.
• Orchestrate multi-functional alignment: Partner with Cloud Platform, SPT, Facilities, Engineering, Real Estate, and Operations. Act as the connective tissue between tenant demand and landlord infrastructure readiness. Facilitate executive business reviews with clear R,Y,G status and quantified risk.
• Capacity & Space Planning Integration: Translate portfolio-level demand signals into actionable infrastructure plans. Model rack density, MW capacity, bench allocation, and cooling distribution. Identify portfolio cooling gaps and bring up risk mitigation strategies.
• Benchmark Governance & Executive Reporting: Develop measurable benchmarks tied to schedule predictability, MW delivery, rack availability, and readiness dates. Present concise executive updates to VP-level leadership. Drive root-cause analysis and capture lessons for future build cycles.
• Risk & Prioritization: Identify infrastructure constraints early; lead scenario planning for site contingencies and global redistribution. Actively reduce schedule risk affecting product launch timelines.

Skills

Cross-functional leadership

Power distribution

Cooling systems

Executive reporting

Infrastructure risk management

Effective communication

Education

Bachelor’s or Master’s degree in Electrical/Mechanical/Data Center Engineering

Job description

Department

Infrastructure, Planning & Process (IPP)

Data Center Engineering Lead (Contract)

Department

Infrastructure, Planning & Process (IPP)

Company

NVIDIA

Job Summary

The IPP division at NVIDIA designs, scales, and optimizes the global data center footprint powering our AI platforms and cloud environments. We are seeking a Data Center Engineering Lead (Contract) to architect and direct large-scale infrastructure programs supporting NVIDIA’s Cloud Platform and global AI product lifecycle. This role will drive IPPs DC readiness across multiple vectors and teams to ensure our data center ecosystem scales efficiently, reliably, and sustainably across the world. This position directly influences portfolio-level infrastructure decisions, including super lab expansions, rack & bench capacity modeling, liquid versus air cooling implementation strategy, global site prioritization, and executive-level reporting on critical metrics and readiness oversight. This is a highly transparent role demanding technical expertise, executive presence, and the capability to convert infrastructure complexity into clear, actionable outcomes for senior leadership.

What You’ll Be Doing

• Lead Global Infrastructure Data Center Build out programs: Drive execution of super lab and data center buildouts from concept approval through operational readiness. Own coordinated schedules linking power delivery, cooling deployment (air & liquid), rack installation, network readiness, and occupancy planning. Establish and enforce launch readiness criteria across global sites.
• Orchestrate multi-functional alignment: Partner with Cloud Platform, SPT (System Product Teams), Facilities, Engineering, Real Estate, and Operations. Act as the connective tissue between tenant demand (product bring-up) and landlord infrastructure readiness (IPP). Facilitate executive business reviews with clear R,Y,G status and quantified risk.
• Capacity & Space Planning Integration: Translate portfolio-level demand signals into actionable infrastructure plans. Model rack density, MW capacity, bench allocation, and cooling distribution. Identify portfolio cooling gaps (liquid vs. air) and bring up risk mitigation strategies.
• Benchmark Governance & Executive Reporting: Develop measurable benchmarks tied to schedule predictability, MW delivery, rack availability, and readiness dates. Present concise executive updates to VP-level and senior leadership collaborators. Drive root-cause analysis and capture lessons learned into future build cycles.
• Risk & Prioritization: Identify infrastructure constraints early (power, chilled water, space). Lead scenario planning for site contingencies and global redistribution. Actively reduce schedule risk affecting product launch timelines.

What We Need To See

• Bachelor’s or Master’s degree in Electrical, Mechanical, or Data Center Engineering, Computer Engineering, or a related technical field.
• 7+ years designing and delivering complex data center or high-density compute facilities (hyperscale or enterprise level).
• Strong technical understanding of large-scale power distribution (MW-level planning), cooling systems, and infrastructure reliability design principles.
• Experience leading cross-functional engineering integration across facilities, network, and operations.
• Proven ability to create and manage engineering KPIs, readiness metrics, and executive-level reporting around infrastructure health and capacity.
• Excellent communication skills, with the ability to distill complex engineering tradeoffs into actionable strategies for executive and technical audiences.

What Sets You Apart

• You think in systems - not just physical infrastructure but the orchestration of power, cooling, and compute integration at a global scale.
• You thrive in technical and strategic discussions, bridging engineering rigor with architectural foresight.
• You bring proactive systems thinking, anticipate risk, and focus on reliability and efficiency without losing sight of long-term scalability.