Drimva

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

First seen Oct 28, 2026 · Last verified Nov 5, 2026 (UTC)