Key Responsibilities
- Support prototyping, integration, and bring-up of RF components and assemblies in a lab environment
- Perform functional, performance, and environmental testing on RF hardware
- Troubleshoot and debug RF circuits, assemblies, and test setups to isolate root causes of failures
- Design and develop software/scripts to automate ground-based RF test systems and reduce manual test time
- Program data acquisition routines to collect measurement data from RF test equipment (e.g., spectrum analyzers, network analyzers, signal generators, power meters)
- Develop analysis routines/algorithms to process acquired data for fault detection and anomaly identification
- Build and validate data pipelines that produce "proofed" (verified/cleaned) data streams to support calibration activities and fault resolution
- Document test procedures, automation scripts, and analysis methods for repeatability and knowledge transfer
- Collaborate with RF engineers, test engineers, and software developers to translate manual test processes into automated workflows
- Assist in creating dashboards, reports, or visualizations to communicate test results and fault trends to engineering teams
- Support calibration activities for RF test equipment and assemblies as needed
Required Qualifications
- Currently pursuing a degree in Electrical Engineering, Computer Engineering, Computer Science, or related field
- Foundational knowledge of RF/microwave concepts (S-parameters, signal chains, impedance matching, etc.)
- Programming experience in Python, MATLAB, C#, or similar languages
- Familiarity with instrument control/automation frameworks (e.g., PyVISA, SCPI commands, LabVIEW, VISA/GPIB interfaces)
- Basic understanding of data analysis techniques (statistical analysis, signal processing, or similar)
- Strong problem-solving skills and attention to detail
- Ability to work both independently and collaboratively in a lab environment
Preferred Qualifications
- Experience with RF test equipment (VNAs, spectrum analyzers, signal generators, power sensors)
- Exposure to automated test equipment (ATE) systems or test executive software (e.g., TestStand)
- Experience with fault detection algorithms, anomaly detection, or machine learning basics
- Familiarity with version control (Git) and software development best practices
- Coursework or project experience in RF/microwave engineering, embedded systems, or signal processing
- Experience with databases or data pipeline tools for managing test data
Other Requirements
- U.S. Citizenship may be required due to export control/ITAR regulations (add/remove based on your organization's needs)
- Ability to work on-site in a laboratory setting
- Must be enrolled in an accredited university program for the duration of the internship