Qualcomm
RF System Test Engineer, Senior
$118K–$177K
San Diego, California · On-site · Senior · Full-time · Posted Oct 14, 2026
- Experience
- Bachelor's: 2+ years of Software Engineering or related work experience; Master's: 1+ year of Software Engineering or related work experience; PhD: no work-experience minimum stated. Also requires 2+ years of academic or work experience with a programming language.
- Education
- Bachelor's, Master's, or PhD in Engineering, Information Systems, Computer Science, or related field. No equivalent-experience alternative stated.
About the job
Defines, automates, and executes RF system validation for modem, RF, and antenna subsystems, ensuring wireless performance, standards compliance, and product readiness.
What you'll do
- Develop and maintain automated test frameworks and regression methods for wireless functionality, performance, stability, and compliance.
- Analyze RF measurements and test results to identify root causes and collaborate across teams to resolve issues.
- Apply 3GPP specifications and AI-assisted tools to improve test coverage, log analysis, triage, and validation workflows.
What they ask for
- Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 2+ years of Software Engineering or related work experience; OR a Master's degree in those fields and 1+ year of related work experience; OR a PhD in those fields.
- 2+ years of academic or work experience with a programming language such as C, C++, Java, or Python.
Nice to have
- Wireless communications and RF fundamentals, 3GPP technologies, RF measurements, test planning, and system-level troubleshooting experience.
- Automation and continuous integration experience; familiarity with AI assistants, agentic tools, RF test equipment, cellular base station emulators, or diagnostic tools.
Pay
$117,800.00 - $176,600.00 USD base salary
Tools
C, C++, Java, Python, SQL, 3GPP
AI focus
Uses AI-assisted tools for test generation and development, log analysis, defect triage, root-cause investigation, coverage assessment, and engineering workflow improvement; requires critical validation of AI-generated output.
Model-written summary · the original posting is authoritative