Research & Development Engineer (Telecommunications)

Job summary

This role involves conducting protocol and RF analysis for 5G NR, LTE, and NTN, as well as analyzing use cases for 5G and 6G technologies. The position requires verification of 5G protocols in laboratory settings and addressing issues related to channel and protocol emulation within a software test solution framework. Additionally, the role includes software development for automation and analysis using Python, and collaboration with global teams.

Qualifications

• Proficient in wireless communications and cellular technologies, including LTE, 5G NR, and emerging 6G concepts.
• Experience in C# application development and automation.
• Skills in C++/CUDA and Python software development.
• Familiarity with AI-assisted development tools and modern software engineering practices.
• Understanding of computer architectures, parallel computing, and performance optimization.
• Knowledge of real-time systems and low-latency software design.
• Interest in wireless channel modeling and digital twin technologies.
• Experience with system integration, validation, and test automation.
• Strong analytical and problem-solving abilities.
• Capability to work on multidisciplinary projects across research and product development.

Responsibilities

• Conduct protocol and RF analysis of lab test results for 5G NR, LTE, and NTN.
• Analyze use cases for 5G and 6G technologies.
• Verify 5G protocols in laboratory environments.
• Analyze issues related to channel and protocol emulation.
• Develop Python-based software for automation and analysis.
• Collaborate with worldwide teams on projects.
• Support design, implementation, and validation of new software products using C++/CUDA, Python, and C#.
• Specify and evaluate solution-level features.

Skills

• Wireless communications and cellular technologies expertise.
• Software development skills in C#, C++/CUDA, and Python.
• Familiarity with AI-assisted development tools.
• Understanding of computer architectures and performance optimization.

Education

• Relevant degree in engineering or a related field is typically expected.

Tools

• Experience with software development tools and environments relevant to C++, C#, and Python.