AI Factory Deployment Engineer

NVIDIA•Santa Clara, CA

About The Position

NVIDIA has been redefining computer graphics, PC gaming, and accelerated computing for 30 years. It’s an outstanding legacy of innovation that’s motivated by extraordinary technology—and outstanding people. Today, we’re tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what’s never been done before takes vision, innovation, and the world’s best talent. As an NVIDIAN, you’ll be immersed in a diverse, encouraging environment where everyone is inspired to do their best work. Come join our team and see how you can make a lasting impact on the world. NVIDIA's AI Factories (e.g. data centers) host ground-breaking products across high-performance computing to machine learning applications for autonomous vehicles and healthcare. At the heart of our AI Factory is the ability to engineer mechanical and electrical designs in close coupling to NVIDIA's industry-leading GPU and DSX codesigns. We are seeking an AI Factory Controls and Monitoring Engineer to support control system deployments.

Requirements

Have excellent interpersonal and leadership skills will be critical for success: success depends on building rapport and credibility with multiple stakeholders across the organization
BS in Engineering, CS or equivalent experience
8+ years of experience with control system design, development and management on industrial or mission critical systems
Working knowledge of mechanical, electrical, life safety, and IT Networking systems associated with critical environments
Understanding of OPC-UA, and Modbus (TCP & RTU) protocols and how to integrate using these protocols.
Troubleshooting, problem-solving skills and experience driving root cause analysis to complex projects under pressure
Experience with equipment commissioning, testing, or related activities
Experience with startup and configuration of Programmable Logic Controllers (PLCs) and SCADA workstations.
Strong understanding of Sequence of Operations (SOO) for mechanical system control.
Ability to create and iterate on SOOs.

Nice To Haves

Experience with MQTT communication protocol, higher level data strategies, and integration to IT systems
Strong understanding of data center commissioning including Level 1 through Integrated Systems Testing
Strong understanding of document control and change control processes
Working knowledge and experience with Data Center Infrastructure Management (DCIM), EPMS systems, Ignition SCADA software development and deployment, and programming languages: Python, PHP, SQL
Working knowledge of data center power and cooling solutions, including advanced systems such as liquid cooling

Responsibilities

Collaborate with product owners and technical leads to identify and collect requirements for our next-generation data centers.
Support the global design standards for the data center controls and monitoring (DCCM) system, collaborating with internal teams to develop an execution strategy and life cycle management
Responsible for adapting control system reference designs and standards to AI Factory deployments.
Key collaborator responsible for control system technical evaluation from site selection due diligence through site turnover to operations including: contractor selection, bid package development, MEP or equivalent experience and control system composition review, RFI response, submittal/as built reviews, and commissioning support.
Provide technical support to DC operations controls engineers
Support IT to OT data integration enabling digital twins, agentic AI onboarding, coordinated leak detection and other applications.
Support standardization in controls engineering quality approval, process control, product evaluation, vendor proposals, evaluate product reliability, automated testing and software
Collaborate with cross functional teams to make modifications to control settings and alarm thresholds to manage the data center space.