Controls Engineer – AI Infrastructure, On‑Site

Giga Energy; San Francisco, Long Beach, Houston (CA, CA, TX); On-site; USD 90,000 - 122,000; Full time

Benefits offered by this job

Health, dental, and vision insurance

401(k) with 4% employer match

Unlimited PTO

Job summary

Giga Energy is seeking a Controls Engineer in San Francisco, CA, to design and develop control systems for mission-critical AI infrastructure. The ideal candidate will have 3+ years of PLC and HMI programming experience, collaborate closely with other engineers, and produce detailed control schematics.

Responsibilities include programming, troubleshooting control systems, and improving existing designs. Strong understanding of automation systems and communication protocols is required. Join a dynamic team making impactful changes in the AI industry.

Qualifications

• 3+ years of hands-on PLC and HMI programming experience.
• Experience designing control panels using AutoCAD.
• Solid understanding of general control systems principles.

Responsibilities

• Design and develop PLC and HMI programs for automation systems.
• Produce detailed control schematics and documentation.
• Collaborate with engineers to integrate controls into facilities.

Skills

PLC programming

HMI programming

Control systems design

Communication protocols

Problem-solving

Team collaboration

Education

Bachelor's degree in Electrical Engineering or related field

Tools

Rockwell Automation Suite

AutoCAD

SCADA systems

Job description

Giga Energy is seeking a Controls Engineer in San Francisco, CA, to design and develop control systems for mission-critical AI infrastructure. The ideal candidate will have 3+ years of PLC and HMI programming experience, collaborate closely with other engineers, and produce detailed control schematics.

Responsibilities include programming, troubleshooting control systems, and improving existing designs. Strong understanding of automation systems and communication protocols is required. Join a dynamic team making impactful changes in the AI industry.