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# Software / System Integration Test Eng

- **Company:** Diverse Lynx LLC
- **Location:** Boston, MA, United States
- **Experience:** Expert
- **Salary:** $119,000.0 - $203,000.0
- **Contract:** Permanent contract
- **Skills:** Adobe Flash, Bash Shell, Firmware, Python (Programming Language), Linux Commands, Log Files, System Integration Testing, System Testing, Systems Integration, Test Execution Engine, Bug Reporting, SDET
- **Published:** September 29, 2026
- **Apply:** https://www.careerjet.com/job/us8699799c6d3b3191fdf9b39d13fb73c2/eaa

## About the Role

Detail-oriented, hands-on Software & Systems Integration Testers to execute our comprehensive quality assurance plans. Operating at the intersection of software and physical robotics test organization. Working directly under the guidance of the Lead SW SDET and Lead HW HDE, you will run complex system tests, operate physical test fixtures, and meticulously document how our hardware and software interact in the real world., * Testing Experience: Prior experience in a QA, technician, or system test role-ideally working with integrated hardware/software products (robotics, IoT, automotive, or consumer electronics).

 * Technical Comfort: Comfortable navigating Linux command-line environments, executing Python/Bash scripts, and extracting log files.
 * Hands-On Aptitude: Comfortable handling, cabling, and operating physical hardware prototypes and lab test fixtures.
 * Detail-Oriented: Highly methodical with strong written communication skills for creating clear, reproducible bug reports

## Description

* Test Execution: Execute daily manual and automated test cases (HIL, SIL, and system-level) exactly as defined by the Lead SW and HW Engineers.
 * Hardware Operations: Physically operate robotics platforms and test fixtures. Flash firmware, power cycle devices, and ensure lab equipment is correctly staged for EVT/DVT testing.
 * Meticulous Bug Reporting: Identify, isolate, and document system failures. Capture critical data including software logs, core dumps, and physical evidence (photos/videos) of hardware behavior to help engineering teams root-cause issues.
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