Senior Systems Engineer - Core

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Skylo Technologies

Innovate through ideation to prototype next generation technologies to ensure Skylo's service remains on the leading edge of technology;
Lead data analysis and research initiatives focused on continuous improvement in network performance and enabling new use cases;
Optimize Skylo's core network performance by conducting comprehensive analysis, benchmarking under various conditions, and proposing innovative solutions to enhance overall efficiency, reliability, and minimize latency;
Troubleshoot and conduct in-depth analysis for critical incidents reported, providing detailed reports and recommendations for preventive measures;
Follow 3GPP standardization activities and advise on new features and functionalities for Skylo’s Core Network. Work on defining 3GPP contributions along with the team.
Innovate and add to the Skylo IP portfolio;
Provide subject matter expertise in LTE/5G core network solutions. Collaborate with internal engineering teams, contributing to design reviews and test plans for high-quality standards.
Collaborate and effectively communicate with partners, vendors and Skylo stakeholders;
Work closely with other cross-functional teams, including base station/core, network , platform engineering and quality analysis teams.

Masters/PhD degree in Telecommunication, Electrical Engineering or a related field;
2+ years experience as a Systems Engineer with a focus on EPS/5G Core Network;
In-depth knowledge of EPS architecture, protocols, and standards (LTE, EPC);
Knowledge of wireless communication 3GPP standards such as NB-IOT, 5G and LTE is a plus;
Strong debugging skills and experience with relevant tools;
Programming capabilities with experience in Python or Matlab;
Familiarity with satellite network technologies preferred;
Proven ability to conduct detailed research and propose effective solutions;
Experience working on network optimization problems and familiarity with virtualization and cloud application development practices preferred;
Preferred experience or knowledge of machine learning and data analysis techniques;
Proven track record of thriving in a fast-paced, rapidly growing and evolving startup environment is preferred;
Highly collaborative, with superior communication and leadership skills, comfortable working with teams from diverse backgrounds.