Education: Bachelor's degree or related field
Experience: 8+ years
***Must be a U.S. citizen and eligible for a U.S. Government security clearance***
Qualcomm Government Technologies (QGOV) is a unique division within Qualcomm that partners with the U.S. Government to bring the latest in new and innovative commercial technologies to the government space. QGOV is seeking an experienced 5G signal processing systems engineer to architect solutions incorporating commercial Qualcomm System on Chip (SoC) processors into U.S.
Government applications. The ideal candidate has strong cellular (5G) knowledge from theory to hands on experience, including protocol knowledge in the air interface (from L1 PHY to L2/L3 upper layers) across both network and UE perspectives; deep signal processing experience as it relates to 5G (from writing Matlab scripts to manipulating/processing IQ samples, mod/demod, channel coding and error correction, synchronization, FIR/filtering, channel estimation, modulation techniques, waveform design to strong communication theory background and understanding the mathematics behind it) is highly desirable.
The role also requires experience/expertise in developing/running simulations to determine link budget, performance and tradeoffs for novel solutions (using Matlab and other tools). A successful applicant must have excellent interpersonal, teamwork and organizational skills, as well as proven skills generating system design documentation and comfortable navigating through 3GPP standards to understand the tradeoffs in modem architecture design vs implementation.
MSEE or PhD with focus in Cellular/Wireless Communication Systems, 8+ years of experience
- Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 6+ years of Systems Engineering or related work experience.
Master's degree in Engineering, Information Systems, Computer Science, or related field and 5+ years of Systems Engineering or related work experience.
PhD in Engineering, Information Systems, Computer Science, or related field and 4+ years of Systems Engineering or related work experience.
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