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We are looking for a highly motivated and passionate Sr. system engineer to design, implement, and integrate advanced cellular communication systems for our next-generation base-station products. Leading system activities from feature design and development to integration.
Job Responsibilities:
Defining and writing system-level requirements and high-level designs. Continuously optimize and fine-tune PHY layer algorithms to enhance the performance and efficiency of the products. 
Provide technical leadership and mentorship to junior engineers within the team, fostering skill development and knowledge sharing. 
Focal point for all system, PHY and RF-related aspects.
Collaborate closely with cross-functional teams to ensure seamless integration with HW, SW, FPGA and other subsystems. 
Hands-on Lab work.

We are looking for a hands-on systems engineer to join the development of a multi-RAT digital twin for our Open RAN solution. The role will involve contributing to the integration of production RAN software with PHY, channel, UE, traffic, and network models, and supporting the development of simulation capabilities for LTE, 5G NR, and 2G. This is a great opportunity to gain hands-on experience in RAN systems, simulation, and AI/ML within a highly technical environment.
What will you do:
Contribute to the development of a modular, multi-RAT RAN digital twin covering LTE and 5G NR.
Develop and integrate production software components with simulation and analysis tooling using stable and maintainable interfaces.
Work with software and system teams to model communication-system behavior, including traffic, mobility, scheduling, interference, and performance KPIs.
Support the extension of existing LTE simulation capabilities and reusable components for additional radio technologies.
Develop software components and tools in C/C++ and Python for simulation, automation, data processing, and analysis.
Support the development and evaluation of AI/ML-based capabilities for communication systems and network optimization.
Build datasets, experiment pipelines, and automated analysis tools to evaluate system behavior and algorithm performance.
Create reproducible tests and experiments across software builds and algorithm versions using defined scenarios, configurations, and KPIs.
Support simulation verification and validation activities, including comparison with lab results and analysis of model behavior.
Build automated unit, component, end-to-end, regression, and performance tests and integrate them into CI/CD workflows.
Improve simulation speed, usability, observability, and automation so engineering teams can run repeatable experiments independently.
Debug issues across C/C++, Python, MATLAB, system software, configuration, and reference measurements.
Document assumptions, supported scenarios, limitations, and experiment results in a clear and structured way.
Work closely with RAN, PHY, system, AI/ML, automation, and validation teams to turn engineering questions into measurable experiments.

We are looking for a highly motivated and passionate Sr. AI PHY System Engineer to design, implement, and integrate advanced cellular communication systems for our next-generation base-station products. The role leads PHY activities from feature development through integration, with a strong emphasis on automation and the use of modern AI tools to accelerate development, debugging, and validation.
What you'll do:
Leverage existing AI tools (AI coding assistants, LLM-based workflows) to speed up development, code comprehension, debugging, and documentation.
Provide technical leadership and mentorship to junior engineers within the PHY team, including sharing best practices for automation and AI-assisted development.
Act as the focal point for all PHY and RF-related aspects.
Define and write system-level requirements.
Continuously optimize and fine-tune PHY-layer algorithms to enhance the performance and efficiency of base-station products.
Build automation and internal tooling to streamline PHY development, integration, and lab testing - reducing manual effort and improving repeatability.
Work within existing codebases and repositories: understand the current architecture quickly, extend it responsibly, and add new capabilities without destabilizing established flows.
Design and develop new tools (test harnesses, analysis utilities, reporting dashboards) to support PHY bring-up and validation.
Collaborate closely with cross-functional teams to ensure seamless integration of PHY components with software, digital signal processing (DSP), and other subsystems.
Hands-on lab work.