My client is developing cellular-based space payloads and seeks an LTE and 5G RAN Engineer to design and develop Radio Access Network - RAN infrastructure for satellite-direct-to-phone services. This role involves developing DSP for LTE and 5G, optimizing the physical layer algorithms, and implementing custom resource scheduling algorithms. The ideal candidate will have a strong background in wireless communications, signal processing, and RAN development to drive innovation in next-generation satellite-based mobile networks.
Core Responsibilities
As an LTE and 5G RAN Engineer your core responsibilities are as follows
Design and implement physical layer - PHY transceiver algorithms and medium access control - MAC layer procedures for satellite-direct-to-phone links based on LTE and 5G NR.
Develop baseband modems on software defined radio - SDR platforms.
Evaluate the performance of the cellular base station in simulation and on the target platform.
Develop test software and drivers to support unit, integration, and system testing of all base station software functions.
Perform link budget analysis of LTE and 5G system between satellite and UEs.
Work with other team members to benchmark payload software applications.
Qualifications
A Master's degree in Engineering with 3 to 5 years of related experience is required.
In-depth knowledge of wireless communication systems, such as OFDM, MIMO, etc.
Experience in physical layer algorithm design, algorithm validation, feature bring-up, and commercialization.
Strong knowledge of the 3GPP standards, including LTE and 5G PHY, MAC, and RRC specifications.
Strong knowledge of software defined radios and their implementation.
Familiarity with existing telecommunications software stacks, such as LTE, 5G NR implementations.
Hands-on experience in lab testing and characterization.
Deep understanding of communication theory and signal processing related algorithms design, such as timing recovery, signal estimation and detection, RF impairment estimation and correction, channel modeling and estimation, Doppler compensation techniques, etc.
Experience with MATLAB, Python, C or C++ for algorithm development, modeling, and simulation.
Experience using test equipment like signal generators, spectrum analyzers, etc.