Senior Test Development Engineer
1X · San Carlos, CA · Yesterday
On-siteQuality Assurance$148k–$181k/yrFull-time
About the role
Develop and own test systems for NEO's electronics and robotic subassemblies as they move from design release into high-volume production. This is a hands-on role spanning software, electronics, firmware, fixtures, and production operations — you'll own stations from requirements through deployment, maintenance, and corrective action.
Responsibilities
- Own functional and end-of-line test stations for robot subassemblies (feet, head, battery, hands, arms, power boards) across their full lifecycle — requirements through deployment, maintenance, and corrective action.
- Ship operator-facing test apps with guided flows, clear pass/fail verdicts, robust error handling, and unit-level traceability.
- Improve station uptime, cycle time, test coverage, data quality, and deployment repeatability as production scales.
- Reduce escaped defects by reproducing and resolving failures across hardware, firmware, software, instruments, fixtures, and process — driving corrective action when stations or products fail.
- Connect results, serial numbers, board IDs, and logs into test-data systems so production data becomes actionable insight.
Requirements
- Background in Electrical Engineering, Computer Engineering, Computer Science, Robotics, or equivalent practical experience.
- Proficiency in Python and/or C++, with willingness to work in both.
- Ability to read schematics and debug electronics at the board or subsystem level.
- Exposure to embedded systems, microcontrollers, or protocols such as CAN, SPI, I2C, UART, Ethernet, or EtherCAT.
- Hands-on experience with bench instrumentation (oscilloscopes, logic analyzers, multimeters, programmable power supplies).
Preferred Skills
- Building production test stations, end-of-line testers, hardware-in-the-loop systems, or test infrastructure.
- Robotics, electromechanical systems, motor controllers, sensors, actuators, batteries, embedded Linux, or real-time systems.
- Deploying and maintaining software across multiple production PCs or factory stations.
- Test-data pipelines, traceability, dashboards, WATS, MES, SQL, Splunk, or similar.
- Linux, Docker, Git, CI/CD, Bazel, remote deployment, or automated station management.
- AI-assisted development tools for faster software development, debugging, documentation, or fixture bring-up.