Test Automation & Process Engineer

JOB DESCRIPTION

Vertiv is seeking a Test Automation & Process Engineer for our Test Engineering team in Delaware, Ohio.

Vertiv is seeking a Test Automation & Process Engineer for our Test Engineering team in Delaware, Ohio.

This is not a typical test-automation job. You will not write software-QA frameworks, Selenium suites, or RPA bots. You will not spend your days running electrical tests. You will build the systems that collect the data, analyze the results, and make the work easy to follow.

The job has three parts. Automate data collection from laboratory meters and instruments — precision power analyzers, oscilloscopes, and related measurement equipment. Create analysis tools — often using AI-assisted development tools such as Cursor — for the electrical tests our engineers perform. Turn the team’s knowledge into simple, standard workflows using knowledge-management and AI-assisted tools. Internally this role is also called a Process Engineer.

The work is process, but the method is automation, tooling, and knowledge made usable.

We hire for Safety, Integrity, and Hard Work. You will work in a high-power electrical laboratory. You will be expected to tell the truth, finish what you start, and leave the team faster than you found it.

• Automate test data collection. Build and maintain automated capture from precision power analyzers, oscilloscopes, power meters, data loggers, and probes. Interface over Ethernet, USB, GPIB, or serial using SCPI and standard instrument libraries. Replace manual reads, screenshots, and USB file pulls with clean, time-stamped datasets tied to the unit and the test. Make long-duration logging reliable enough to run without someone standing by.
• Build analysis tools. Turn raw captures into engineering answers — efficiency, power quality, harmonics, transients, thermal performance, pass/fail against limits. Use AI-assisted development tools such as Cursor to ship useful software quickly. Make the tools self-service: if only you can run it, it is not done. Version-control, document, and support what you build. Not one-off scripts.
• Make the work easy to follow. Write clear standard work and simple workflows for setup, data collection, analysis, and reporting. Capture what experienced engineers and technicians know and put it in searchable, well-structured knowledge bases. Use AI-assisted knowledge tools so the team can find and apply that information without hunting down the one person who knows. Train people on what you ship.
  
  Bring them along.
• Work safely, in the open. Follow PPE, lockout/tagout, and lab safety rules without exception. Surface problems early, including your own. Partner with test engineers and technicians; translate their friction into tools they will actually use.

• B.S. in Electrical Engineering, Computer Engineering, Computer Science, Mechanical Engineering, or a related field, with 3+ years of relevant experience; or A.S. with 5+ years; or equivalent demonstrated experience.
• Proof you have built automation or data-acquisition software. We will ask you to walk us through something you made and what changed because of it.
• Python (or comparable) for instrument control, data processing, and analysis.
• Experience controlling laboratory instruments programmatically over LAN, USB, GPIB, or serial.
• Enough electrical-test knowledge to read a schematic and work productively with test engineers.
• Willingness and discipline to work safely in a high-power electrical laboratory.
• Clear writing. Procedures you write have to be followed by other people.
• Self-directed. Find the friction, prove the fix, roll it out.

• Hands-on work with precision power analyzers, oscilloscopes, and power-quality meters. (Yokogawa and Fluke preferred)
• SCPI, VISA/PyVISA, LabVIEW, or similar instrument-control frameworks.
• Power electronics, UPS, switch gear, transformers, energy storage, or power-quality measurement.
• Building engineering tools with AI-assisted development environments (for example Cursor).
• Experience standing up or curating engineering knowledge bases, document repositories, or AI-assisted search/Q&A for technical teams.
• Git, and…