RF Test Engineer: 5G/LTE System Verification (Onsite)

Apptad Inc; Georgia; On-site; USD 110,000 - 160,000; Full time

Job summary

Apptad Inc is seeking an RF Test Engineer to join our lab in Mountain View, CA. The role focuses on RF system testing for design verification and validation across conducted and radiated measurements, and on gathering and reporting test results.

Responsibilities include executing TRP/TIS/aGPS tests, operating RF chambers and call boxes, and ensuring test data is collected, analyzed, and documented using spreadsheets and Python scripts.

Responsibilities

• TRP/TIS/EiRP/EIS testing
• LTE / NBIoT NTN / NR RedCap
• BT BR / BT EDR2/ WiFi 2.4 / 5 GHz/ AGPS L1 w/LTE
• Perform RF System Testing on devices for design verification and system validation, including controlled (conducted and radiated) test environment tests for RF performance, interference, noise floor (RSSI), coexistence (multiple-radios), throughput
• Perform Radiated/Conducted TRP/TIS/aGPS Testing, in signaling or non-signaling mode, using test chambers, including but not limited to, R&S Anechoic chamber; BlueTest Chamber; GTS chamber, etc. Use call boxes including, but not limited to, R&S, Agilent, Anritsu, etc. Use internally developed tools to run on-device testing.
• Collect data from test systems and transfer data to spreadsheets or databases. Analyze and prepare test results using spreadsheets and Python scripts to generate reports.
• Setup RF test equipment to perform validation, verification, and debugging tasks. Maintain the test equipment and handle lab equipment calibration. Maintain lab space, tools, and the materials of a hardware R&D lab.

Job description

Apptad Inc is seeking an RF Test Engineer to join our lab in Mountain View, CA. The role focuses on RF system testing for design verification and validation across conducted and radiated measurements, and on gathering and reporting test results.

Responsibilities include executing TRP/TIS/aGPS tests, operating RF chambers and call boxes, and ensuring test data is collected, analyzed, and documented using spreadsheets and Python scripts.