AI Factory Deployment Engineer

Nvidia

Remote

Quick summary

Work type
Remote
Location
Santa Clara, CA
Salary
$152,000–$253,000 / yr
Posted
23 days ago

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $203k
This role $202k
$140k most similar roles pay here $265k

This role pays less than 54% of similar roles. Most pay $160,549–$246,150 — the shaded band above. At the midpoint, this role pays about $202k versus about $203k 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 563 open roles on FindRole.

Listed pay typically runs $168,000–$264,500 across 556 roles with salary data.

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At a glance

TL;DR · AI Factory Deployment Engineer

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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 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 and turnover phases, ensuring seamless integration of IT-to-OT data through digital twins and agentic AI onboarding. Key skills include a BS in Engineering or CS, 8+ years of control system experience, knowledge of OPC-UA and Modbus protocols, and proficiency with SCADA workstations, PLCs, and programming languages like Python and SQL. The position demands strong troubleshooting abilities and the capability to collaborate effectively across multiple teams, 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 Terraform AWS Kubernetes CI/CD

What you'll do

  • Adapt control system reference designs to AI Factory deployments.
  • Develop and execute strategies for data center controls and monitoring systems.
  • Evaluate technical aspects of control systems from site selection through turnover.
  • Provide technical support to operations engineers for DC controls.
  • Integrate IT to OT data, enabling digital twins and agentic AI onboarding.

What we're looking for

  • BS in Engineering, CS or equivalent experience with 8+ years in control system design, development, and management
  • Expertise in mechanical, electrical, life safety, IT networking systems, OPC-UA, Modbus protocols, and SCADA workstations
  • Strong troubleshooting skills and ability to drive root cause analysis on complex projects under pressure
  • Experience with equipment commissioning, testing, and startup of PLCs and SCADA workstations
  • Understanding of Sequence of Operations for mechanical system control and ability to create and iterate on SOOs
  • Knowledge of data center commissioning processes from Level 1 through Integrated Systems Testing
  • Familiarity with Data Center Infrastructure Management (DCIM), EPMS systems, Ignition SCADA software development, Python, PHP, SQL

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