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Data Center Operations Controls Engineer

US, CA, Santa Clara; US, VA, Herndon
Full Time On-site

Summary

Job Description

Join NVIDIA’s modern team as a Data Center Operations Controls Engineer. This remarkable opportunity allows you to define and manage operational readiness, support, and governance of Cronus, our leading monitoring and control platform. At NVIDIA, you will be part of an innovative environment, partnering with data center teams, Engineering, and the FOC to achieve a smooth technical roadmap. This role fits those driven to build a meaningful difference with our newest technology!

What you'll be doing:

  • Work together with Controls engineering to prioritize and coordinate the resolution of critical UI, stability, and interoperability issues affecting data center operations.

  • Lead operational cleanup at live sites, including nuisance alarm reduction, disabled point remediation, and restoration of a usable monitoring baseline.

  • Collaborate with engineering and operations to establish and uphold a consistent Controls version and configuration baseline, including setpoints, thresholds, and alarm defaults.

  • Help establish naming standards, topology mapping methods, and configuration governance to ensure consistency across sites.

  • Own the development and delivery of training, documentation, and knowledge transfer for data center operators and FOC teams using the Controls system.

  • Support the planning and rollout of integrations between Controls and key infrastructure tools (asset, power, and monitoring systems), focusing on operational value and adoption.

  • Define and track key operational metrics, such as incident response times, alarm quality, and configuration compliance, and drive continuous improvement.

What we need to see:

  • 12+ years of experience in operations, controls, or monitoring systems in data center, industrial, or large-scale infrastructure environments.

  • B.S. in related field or equivalent experience.

  • Strong understanding of controls systems, monitoring platforms, or SCADA-like tools, including alarms, setpoints, and configuration management.

  • Proven success partnering with engineering, operations, and vendor teams to stabilize and improve technical platforms.

  • Excellent communication skills, with the ability to translate technical issues into clear operational actions for frontline teams.

  • Track record of defining and using operational metrics to drive performance and reliability improvements.

Ways to stand out from the crowd:

  • Experience in managing data center operations or critical facilities.

  • Experience with Ignition control systems.

  • Background in process control, industrial automation, or building management systems.

  • Experience leading integrations between monitoring platforms and other infrastructure tools.

  • Experience with change process oversight, incident response, and configuration control approaches.

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 184,000 USD - 287,500 USD.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until June 12, 2026.

This posting is for an existing vacancy. 

NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

About Nvidia

Nvidia

NVIDIA is one of the most influential technology companies in the world, powering the modern era of artificial intelligence, high-performance computing, graphics, and autonomous systems. Originally known for its leadership in gaming GPUs, NVIDIA has evolved into the backbone of AI infrastructure, designing the chips, software, and systems that train and deploy large-scale AI models used across industries from healthcare and robotics to autonomous vehicles and scientific computing.

For job seekers, NVIDIA offers opportunities at the forefront of deep tech, spanning software engineering, AI research, systems engineering, hardware design, networking, robotics, and developer tools. A major focus of its work is the CUDA software platform and AI ecosystem, which enables developers to program GPUs at massive scale and has become foundational to modern machine learning and data center computing. This makes NVIDIA especially attractive to engineers, researchers, and technologists who want to work directly on the infrastructure powering today’s AI revolution.

Unlike traditional hardware companies, NVIDIA operates as a full-stack computing platform company, integrating silicon, systems, and software into a unified ecosystem. Employees may work on everything from GPU architecture and data center systems to AI frameworks, simulation platforms like Omniverse, and autonomous vehicle technology through the DRIVE platform. This breadth allows teams to operate at the intersection of research and production-scale deployment, with direct impact on global computing infrastructure.

As demand for AI, accelerated computing, and autonomous systems continues to grow rapidly, NVIDIA remains one of the most important employers in technology and advanced engineering. For professionals seeking a high-impact career at the center of AI development—where breakthroughs quickly translate into real-world systems at global scale—NVIDIA stands out as one of the most dynamic and sought-after destinations in the industry.

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