14 days ago

Senior Manager, Data Center Engineering and Controls

NVIDIA

Hybrid
Full Time
$300,000
Hybrid

Job Overview

Job TitleSenior Manager, Data Center Engineering and Controls
Job TypeFull Time
CategoryCommerce
Experience5 Years
DegreeMaster
Offered Salary$300,000
LocationHybrid

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Job Description

Overview

NVIDIA is transforming computer graphics, PC gaming, and accelerated computing. Today, as we tap into the unlimited potential of AI, our GPUs power the world’s most demanding data centers. Join us as a Senior Manager on the Data Center Controls Engineering team and shape how NVIDIA designs and operates electrical, air‑cooled, and liquid‑cooled mechanical infrastructure for AI and HPC at massive scale.

Key Responsibilities

  • Lead and grow a world-class engineering team across multiple sites.
  • Own the full life cycle of controls systems (BMS, EPMS, PLC/SCADA).
  • Collaborate with Electrical and Mechanical Engineering teams on new builds and retrofits.
  • Provide deep technical mentorship on building management systems, including vendor platforms like Cronus and Siemens.
  • Drive incident response, root cause analysis, automation, and operational excellence.

Qualifications

Bachelor’s degree in a relevant technical field or equivalent experience, 12+ years in controls or data center engineering, and 6+ years of people management experience. Strong expertise in industrial controls, electrical systems, and mechanical systems in critical environments is required.

Key skills/competency

  • Data Center
  • Controls
  • Engineering
  • Automation
  • Reliability
  • Safety
  • Power Systems
  • Cooling Systems
  • Mentoring
  • Operational Excellence

Tags:

Senior Manager Data Center Engineering and Controls
data center
controls
engineering
automation
reliability
safety
cooling
power
mentoring
BMS
EPMS
PLC
SCADA
Cronus
Siemens
electrical
mechanical

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How to Get Hired at NVIDIA

  • Customize your resume: Highlight data center and controls expertise.
  • Research NVIDIA's culture: Study their innovation and AI focus.
  • Prepare technical examples: Showcase system integration and troubleshooting skills.
  • Practice leadership stories: Emphasize team management and mentoring.

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