Global Controls Systems Engineer - Data-Driven Automation

Support Revolution; San Jose, Northern (CA, KY); Hybrid; USD 170,000 - 200,000; Full time

Job summary

Supermicro is seeking a Controls Systems Engineer to design, implement, and maintain an integrated multi-site controls solution spanning global facilities for rack integration, burn-in, and cooling infrastructure.

The role combines hands-on device connectivity with system-level architecture, collaborating withRack Solutions, Facilities, Production, and IT teams to create a scalable, data‑driven environment.

Qualifications

• Bachelor’s degree in Electrical, Mechanical, Controls, Computer Engineering, or related discipline.
• 7+ years of experience in industrial controls, building automation, or data-center systems integration.
• Deep familiarity with BACnet, Modbus TCP/IP, SNMP, and related protocols.
• Experience designing or deploying BMS/SCADA systems (e.g., Ignition SCADA, Niagara, Tridium, Wonderware).
• Strong background in database integration (SQL Server, InfluxDB, PostgreSQL, etc.) and data logging architecture.

Responsibilities

• Design and implement a multi-site controls architecture across global facilities.
• Define network topology, redundancy, and high-availability requirements for control nodes and servers.
• Develop and maintain frameworks for BACnet, Modbus, SNMP, and OPC-UA communication layers.
• Ensure open, non-proprietary architecture for integration with BMS, SCADA, and analytics tools.

Skills

BACnet

Modbus TCP/IP

SNMP

Python scripting

Education

Bachelor’s degree in Electrical/Controls/Computer Engineering

Tools

Ignition SCADA

Niagara

Tridium

Wonderware

Job description

Supermicro is seeking a Controls Systems Engineer to design, implement, and maintain an integrated multi-site controls solution spanning global facilities for rack integration, burn-in, and cooling infrastructure.

The role combines hands-on device connectivity with system-level architecture, collaborating withRack Solutions, Facilities, Production, and IT teams to create a scalable, data‑driven environment.