Job description

In this technical role, you will define GNSS signal processing hardware architectures, developing system specification and modeling in MATLAB/C++/SystemC for RTL implementations. Your work will enable outstanding GNSS performance, balancing ultra-low power efficiency where possible with unparalleled performance and robustness when required. BS and a minimum of 10+ years relevant industry experience is required. Strong background in wireless communications space with focus on digital hardware system design, e.g. GNSS, Connectivity, Cellular. Familiarity with digital communication, signal processing, spread spectrum system, or systems theory. MSEE or beyond is preferred. 5+ years of proven experiences in GNSS baseband signal processing is preferred. Proficiency with wireless communications system modeling and estimation theory. Solid programming skills in MATLAB/C++/SystemC. Good understanding of VLSI implementation, architecture and power optimization. Healthy combination of innovation attitude and understanding of practical constraints of product development. Excellent communication skills, both written & verbal especially in a multi-functional environment.

Requirements

Must-haves

BS and a minimum of 10+ years relevant industry experience is required.
Strong background in wireless communications space with focus on digital hardware system design, e.g. GNSS, Connectivity, Cellular.
Familiarity with digital communication, signal processing, spread spectrum system, or systems theory.
Proficiency with wireless communications system modeling and estimation theory.
Solid programming skills in MATLAB/C++/SystemC.
Good understanding of VLSI implementation, architecture and power optimization.
Healthy combination of innovation attitude and understanding of practical constraints of product development.
Excellent communication skills, both written & verbal especially in a multi-functional environment.

Nice-to-haves

MSEE or beyond is preferred.
5+ years of proven experiences in GNSS baseband signal processing is preferred.

Application prep

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Platform: apple
Effort: medium