True Anomaly
Data and Controls Systems Test Engineer
Long Beach, CAmidAdded today
About this role
True Anomaly seeks a Data and Controls Systems Test Engineer to design and operate data acquisition and test control systems for spacecraft testing in Long Beach, CA. You'll architect DAQ systems, develop test automation software, and ensure data integrity across propulsion, fluids, avionics, and environmental test campaigns.
What you'll do
- Design and implement data acquisition systems including sensor selection, signal conditioning, and hardware architecture for multi-discipline test campaigns
- Develop automated test control and sequencing software using LabVIEW, Python, MATLAB, or similar platforms
- Define instrumentation requirements and sensor layouts in collaboration with test engineers
- Commission, calibrate, and troubleshoot instrumentation hardware and software integration
- Ensure test data integrity, traceability, and deliver high-quality data for engineering analysis
- Architect and operate DAQ systems for complex spacecraft test campaigns
What they're looking for
- Data acquisition (DAQ) system design and architecture
- LabVIEW, Python, MATLAB, or similar test automation languages
- Sensor selection and signal conditioning
- Test control system development and sequencing
- Hardware and software integration troubleshooting
- Requirements traceability and test documentation
- Systems thinking and cross-functional collaboration
- Instrumentation commissioning and calibration
Opens the official application on the employer’s site. No login required.
True Anomaly
True Anomaly develops advanced spacecraft and aerospace defense systems for mission-critical space applications. The company is hiring mechanical, thermal, systems, and test engineers to design, test, integrate, and verify complex space vehicle systems.
- Website
- trueanomaly.com
Likely interview questions
- Describe your experience designing data acquisition systems. What sensors and hardware have you integrated?
- Walk us through a test automation project you led using LabVIEW, Python, or MATLAB. What challenges did you overcome?