data-collection jobs in San Diego

Senior Test Engineer supporting complex Department of Defense systems, responsible for developing, reviewing, and maintaining Test and Evaluation Master Plans, test strategies, procedures, and technical documentation. Coordinate with multiple agencies (OPTEVFOR, JITC, OPNAV) and support laboratory, platform, flight, and operational test events.…See more Lead development of test deliverables, data collection plans, and analysis of test deficiencies, anomalies, and risks. Requires 8+ years of engineering experience on DoD systems with 4+ years in developmental or operational test and evaluation.

Senior Staff Engineer responsible for leading complex UxS/UAS systems integration across hardware, software, autonomy, and operational test environments. Will define readiness criteria and test coverage for hardware-based autonomy validation, troubleshoot unmanned systems (flight controllers, radios, sensors, ground stations), and drive reusable test practices and field guidance across engineering and operations teams.…See more Requires 10+ years hands-on experience in UxS systems integration, robotics, autonomy testing, or flight test, with strong practical knowledge of Linux, embedded systems, autopilot ecosystems (PX4, ArduPilot, MAVLink, Pixhawk), and scripting/data-analysis tools (Python, Bash, MATLAB). Must lead through influence across cross-functional teams and communicate technical findings to diverse audiences.

This role involves independently designing, developing, and debugging real-time embedded software, RTOS environments, and microcontroller firmware for wireless chipsets supporting 3G, 4G, 5G, and AI technologies. The engineer will work on driver development, integration, testing, and validation of communication protocols and platforms, while also contributing to data collection frameworks, machine learning modeling, and embedded software algorithm improvements.…See more Responsibilities include on-target development, tool and process optimization, customer support, technical documentation, and active participation in design reviews. The position requires a Master's degree in Electrical Engineering, Computer Engineering, Computer Science, or related field.