Hardware / Software QA Engineer
Gather AI
•
Pittsburgh, PA
0
0
0
0
Not Applicable
Posted April 5, 2026
Job link
Thinking about this job
Responsibilities
Commitments
Responsibilities
- 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
Commitments
BS in Computer Science, Electrical Engineering, Computer Engineering, Mechatronics, or a related technical field; must be willing to work on-site in Pittsburgh
Not Met Priorities
What still needs stronger evidence
Requirements
- 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
- Familiarity with communication protocols (UART, SPI, I2C, USB) and basic lab instruments (oscilloscopes, logic analyzers)
Preferred Skills
- 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
Education
- (Not required) – BS in Computer Science, Electrical Engineering, Computer Engineering, Mechatronics, or a related technical field; must be willing to work on-site in Pittsburgh
About Us
Are you ready to build the future of supply chain? At Gather AI, we’re not just creating software; we’re pioneering a new era of warehouse intelligence. We’ve developed a groundbreaking, vision-powered platform that uses autonomous drones and existing equipment to capture real-time data, completely digitizing workflows that have historically been manual and error-prone. This means facilities operate smarter, safer, and more efficiently, ultimately redefining “on-time, in full” delivery.
If you’re looking for an opportunity to contribute to truly transformative technology and make a significant impact in a vital industry, Gather AI is the place for you. We’re leading the charge in the rapidly evolving robotics industry, and we invite you to join us in reshaping the global supply chain, one intelligent warehouse at a time.
About The Team
You'll be embedded at the intersection of hardware and software, collaborating with Autonomy and MHE Vision engineers to bring cutting-edge systems to life. You'll partner with hardware designers on sensor validation, working closely with systems engineers on integrated testing, and have a direct line to QA leadership in shaping overall test strategy
About The Role
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
Are you ready to build the future of supply chain? At Gather AI, we’re not just creating software; we’re pioneering a new era of warehouse intelligence. We’ve developed a groundbreaking, vision-powered platform that uses autonomous drones and existing equipment to capture real-time data, completely digitizing workflows that have historically been manual and error-prone. This means facilities operate smarter, safer, and more efficiently, ultimately redefining “on-time, in full” delivery.
If you’re looking for an opportunity to contribute to truly transformative technology and make a significant impact in a vital industry, Gather AI is the place for you. We’re leading the charge in the rapidly evolving robotics industry, and we invite you to join us in reshaping the global supply chain, one intelligent warehouse at a time.
About The Team
You'll be embedded at the intersection of hardware and software, collaborating with Autonomy and MHE Vision engineers to bring cutting-edge systems to life. You'll partner with hardware designers on sensor validation, working closely with systems engineers on integrated testing, and have a direct line to QA leadership in shaping overall test strategy
About The Role
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