Manufacturing Test Automation Engineer

Performix

Edina (MN)

On-site

USD 90,000 - 130,000

Full time

10 days ago

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Job summary

Performix is seeking an experienced software engineer to design, develop, and maintain manufacturing software and automation systems used to manufacture, program, calibrate, and verify its products.

The role focuses on owning software for programming stations, calibration systems, and end-of-line equipment, while collaborating with embedded, electrical, mechanical, and quality teams to improve throughput and reliability.

Qualifications

  • BS in computer science, computer engineering, electrical engineering, or equivalent experience.
  • 3+ years of professional manufacturing software development experience.
  • Proficiency in Python.
  • Experience developing software on Linux.
  • Experience interfacing with embedded hardware (USB, Ethernet, UART, SPI, I2C).
  • Strong debugging and problem-solving skills.

Responsibilities

  • Design, develop, and maintain software for manufacturing test fixtures and production equipment.
  • Own all software used to manufacture, program, calibrate, and verify Client’s products.
  • Develop automated production tests for PCBs, subassemblies, and robotic systems.
  • Develop software to program embedded processors, Linux systems, MCUs, EEPROMs.
  • Integrate software with manufacturing equipment and data collection systems.
  • Create reusable software frameworks for manufacturing and production testing.

Skills

Python
Linux
Embedded systems
Git
C/C++
OpenCV
PyVISA
CI/CD
Docker

Education

BS in CS/CE/EE or equivalent

Tools

OpenCV
Docker
CI/CD
PyVISA

Job description

Performix is seeking an experienced software engineer to design, develop, and maintain manufacturing software and automation systems used to manufacture, program, calibrate, and verify its products.

The role focuses on owning software for programming stations, calibration systems, and end-of-line equipment, while collaborating with embedded, electrical, mechanical, and quality teams to improve throughput and reliability.

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