Qualcomm
Sr. Post-Silicon Validation Engineer, RF/Mixed-Signal
$118K–$177K
San Diego, California · On-site · Senior · Full-time · Posted Sep 17, 2026
- Experience
- Bachelor's degree and 2+ years of Hardware Engineering or related work experience; OR master's degree and 1+ year; OR PhD.
- Education
- Bachelor's degree in Computer Science, Electrical/Electronics Engineering, Engineering, or related field; master's degree is preferred.
About the job
Brings up, validates, and characterizes modem and RF mixed-signal blocks, and develops lab tools and automation for production enablement.
What you'll do
- Perform post-silicon bring-up, validation, and characterization of mixed-signal and RF IP; design experiments and analyze performance data.
- Develop test hardware, software, and lab automation frameworks for characterization and production enablement.
- Support qualification, yield analysis, and manufacturing enablement; collaborate with design, validation, and manufacturing teams.
What they ask for
- Strong understanding of RF and mixed-signal block architectures and measurement methodologies; hands-on use of spectrum analyzers, oscilloscopes, and logic analyzers.
- Programming and scripting experience for data analysis and tool development, including Python, C#, and AI-assisted tools.
- Experience with statistical data analysis, including experiment design, bias reduction, and predictive analysis from limited sample sets.
- Knowledge of mixed-signal or analog PCB design and debug.
Nice to have
- Experience with AI tools, including agentic AI workflows; background in silicon bring-up, lab automation, and algorithm / DSP development.
- Hands-on experience with high-speed digitizers, high-speed serial data analyzer, or JTAG debuggers; embedded systems development.
Pay
$117,800.00 - $176,600.00 (base salary)
Tools
Python, C#, Spectrum analyzers, Oscilloscopes, Logic analyzers, High-speed digitizers, High-speed serial data analyzer, JTAG debuggers
AI focus
Use AI-assisted tools in lab automation; experience with AI tools, including agentic AI workflows, is preferred.
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