What are the responsibilities and job description for the Mechanical Test Engineer position at SoloPoint Solutions?
We are looking for a System Integration Engineer to support semiconductor automation and robotic material handling equipment in Santa Clara, CA.
This is a highly hands-on hardware engineering role focused on machinery testing, electromechanical troubleshooting, robotics integration, motion systems, and system-level validation of complex automation equipment.
Ideal candidates come from semiconductor equipment, robotics, industrial automation, material handling, or precision machinery environments.
Typical work split is ~2/3 hands-on machinery testing, characterizing, troubleshooting, and ~1/3 documentation of procedures, tests, and best practices.
Qualifications:
- BSME - 10 years in Semiconductor equipment, material handling, automation and robotics (solar and disk drives)
- SolidWorks, EPDM, Documentation, GD&T, Tolerance Stack-Up
- Strong hands-on experience testing, characterization, troubleshooting of complex automation equipment
- Experience in developing and documenting test procedures, test data, SOP’s, best practices
- Strong familiarity in mechatronics/automation design (motor sizing, actuator design, sensor selection, etc.)
- Industrial automation and control systems (VFD and servo drives, multi-axis robots, PLCs) a plus
- Experience with optics, lasers, x-rays, lenses a plus
Responsibilities:
- Perform hands-on testing, troubleshooting, and root-cause analysis across predominantly Mechanical, but also Electrical and Controls domains.
- Define critical aspects of machine performance and develop corresponding tests and tuning methods.
- Collaborate with cross functional teams – including mechanical, electrical, optical, and software engineers to resolve integration and performance issues.
- Develop and execute detailed hardware test procedures – from subsystem acceptance tests to system-level validation – ensuring performance meets design and reliability requirements.
- Collect, analyze, and interpret test data, identifying trends, deviations, and opportunities for design or process improvements.