AI Factory Deployment Engineer

Nvidia

Remote

Quick summary

Work type: Remote
Location: Santa Clara, CA
Salary: $184,000–$287,500 / yr
Posted: 1 day ago
Nearby: 99+ roles within 25 mi

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $194k

This role $236k

$129k most similar roles pay here $304k

This role pays more than 75% of similar roles. Most pay $152,875–$235,750 — the shaded band above. At the midpoint, this role pays about $236k versus about $194k for comparable roles.

Based on 240 similar postings.

Employer

About Nvidia

Nvidia is a leading designer of graphics processing units (GPUs) and system-on-chip units, powering gaming, professional visualization, data centers, and artificial intelligence workloads. Industry: Semiconductors & AI Computing

Nvidia currently has 928 open roles on FindRole.

Listed pay typically runs $184,000–$287,500 across 915 roles with salary data.

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View all roles at Nvidia

At a glance

TL;DR · AI Factory Deployment Engineer

Role Posting Log in to save

NVIDIA's AI Factories team seeks an experienced AI Factory Controls and Monitoring Engineer to support the deployment of advanced control systems in next-generation data centers. This senior-level role involves collaborating with product owners and technical leads to identify requirements, develop global design standards, and adapt reference designs for AI Factory deployments. The engineer will also provide critical technical support during site selection, contractor selection, and commissioning phases, ensuring seamless integration between IT and OT systems through digital twins and agentic AI onboarding. Essential skills include a BS in Engineering or CS, 12+ years of experience with control system design, knowledge of OPC-UA and Modbus protocols, and proficiency in Python, PHP, SQL, and Ignition SCADA software. The role demands strong troubleshooting abilities and the capacity to work across multiple stakeholders, driving complex projects from conception to completion in a high-stakes environment.

Skills

OPC-UA Modbus PLCs SCADA Python PHP SQL DCIM EPMS Ignition MQTT Data_center_infrastructure_management Change_control_processes Document_control Integrated_Systems_Testing Level_1_commissioning Sequence_of_Operations Troubleshooting Problem_solving

What you'll do

Adapt control system reference designs to AI Factory deployments.
Evaluate technical aspects of control systems from site selection through turnover.
Develop strategies for data center controls and monitoring life cycle management.
Support integration of IT to OT data for digital twins and agentic AI onboarding.
Provide technical support to DC operations controls engineers and ensure standardization.

What we're looking for

BS in Engineering, CS or equivalent experience with 12+ years in control system design, development, and management
Expertise in mechanical, electrical, life safety, IT networking systems, and critical environment protocols like OPC-UA and Modbus
Proficient in troubleshooting complex issues, driving root cause analysis, and equipment commissioning
Experience with PLCs, SCADA workstations, Sequence of Operations (SOO) creation, and data center commissioning processes
Knowledge of Data Center Infrastructure Management (DCIM), EPMS systems, Ignition SCADA software, and programming languages like Python, PHP, SQL

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