Senior Maintenance Automation Engineer

present of AI; San Jose (CA); On-site; USD 90,000 - 140,000; Full time

Job summary

The ideal candidate will coach technicians, perform failure analyses, and maintain tight safety and documentation standards while advancing data-driven maintenance practices and CMMS usage on the line.

Qualifications

• Hands-on controls maintenance experience in automated manufacturing.
• Ability to review designs for maintainability and reliability.
• Experience with commissioning and handover of new lines.
• Leading troubleshooting of PLCs, robotics and drives.
• Coaching technicians and performing failure analysis.
• Ensuring safety and documentation are tightly maintained.

Responsibilities

• Own automation and controls upkeep for a new production line and site utilities.
• Review designs for maintainability through commissioning and handover.
• Lead troubleshooting of PLCs, robotics and drives.
• Coach technicians, run failure analysis and maintain safety standards.
• Keep documentation up to date and ensure proper spare parts planning.

Skills

PLC troubleshooting

SCADA troubleshooting

Maintenance planning

Root cause analysis

Tools

CMMS

SCADA software

PLC programming software

Job description

The role owns automation and controls upkeep for a new production line and site utilities, from reviewing designs for maintainability through commissioning and handover. A strong candidate brings years of hands on controls work in automated manufacturing, sets up maintenance systems and spare parts plans, and leads troubleshooting of PLCs, robotics and drives. It also calls for coaching technicians, running failure analysis and keeping safety and documentation tight.

How it fits the AI era

The company builds power systems for AI data centers, so demand for reliable output keeps rising and maintenance work grows more data driven. Condition monitoring and downtime analytics help spot problems earlier, but judgment on root causes, safe repairs and supplier handovers stays with people. The engineer turns sensor and failure data into practical fixes while keeping control systems secure and documented.

How it builds AI experience

This role builds experience in data driven maintenance, using condition monitoring and failure analytics to improve equipment availability on a line making energy storage for AI infrastructure. It also grows skills in OT network security and version control of control software, which matter as plant systems connect more. Those wanting to strengthen this can practice reliability methods and CMMS setup on real equipment.

Worth showing

• PLC and SCADA troubleshooting
• CMMS setup and planning
• Root cause and FMEA
• Machine safety standards

This is our own read, written from the employer's posting and the company's Spotlight. The employer's posting is the source of truth for the role.

About Skeleton Technologies

Skeleton Technologies makes high-power energy storage systems, including supercapacitors and SuperBatteries, for AI data centers, power grids, transportation and defense (per the company).