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Hardware / Software QA Engineer at Gather AI, Remote (United States)

We are looking for a Hardware / Software QA Engineer to own testing at the boundary between our physical hardware and software systems. You will validate sensors, firmware, and software components that work correctly together end-to-end — closing a critical quality gap for both our Drone and MHE Vision platforms.

This is a rare hybrid QA role that spans embedded devices, sensor systems, and software stacks. You’ll work hands-on in our Pittsburgh lab with real hardware while contributing to the quality infrastructure that keeps production systems running reliably for our customers.

What You’ll Do

• Execute hardware-software integration tests in the Pittsburgh lab, validating sensor behavior, firmware functionality, and end-to-end data flow from physical devices through the software stack
• Design and document repeatable test procedures for sensor integration and firmware validation across both the Drone and MHE Vision platforms
• Identify and classify defects at the hardware-software boundary — distinguishing hardware faults, firmware bugs, driver issues, and application software errors — and route clearly to engineering owners
• Build and maintain hardware-software integration test suites, including firmware validation, sensor calibration tests, and embedded release regression testing
• Contribute to cross-platform test infrastructure that serves both product lines and establish defect classification and routing processes
• Collaborate with systems engineers on integrated system tests and with the ML team on validating how sensor data feeds into perception pipelines

What You’ll Need

• 3–5 years of QA or test engineering experience with genuine exposure to both hardware and software testing — not purely one side
• Hands-on experience testing sensors (cameras, LiDAR, IMUs, or similar), including calibration, data quality assessment, and performance characterization
• Embedded firmware validation experience: flash/update procedures, functional verification, regression testing, and failure mode analysis
• Python proficiency for test automation, data processing, log analysis, and building test utilities
• BS in Computer Science, Electrical Engineering, Computer Engineering, Mechatronics, or a related technical field; must be willing to work on-site in Pittsburgh

Nice to Have

• Experience with embedded platforms such as NVIDIA Jetson or ARM-based devices
• Familiarity with communication protocols (UART, SPI, I2C, USB) and basic lab instruments (oscilloscopes, logic analyzers)
• CI/CD experience for embedded or hardware-in-the-loop testing
• Exposure to computer vision or ML pipelines — understanding how sensor data feeds into inference systems