Sr. AI PHY System Engineer
Kfar Saba • Full Time
Posted 3mo ago
About the job
Parallel Wireless is seeking a highly motivated Sr. AI PHY System Engineer to design, implement, and integrate advanced cellular communication systems for next-generation base-station products. This role will lead 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. The engineer will leverage existing AI tools and provide technical leadership to junior engineers, acting as the focal point for all PHY and RF-related aspects.
Responsibilities
- Leverage AI tools (coding assistants, LLM-based workflows) to accelerate development, code comprehension, debugging, and documentation.
- Provide technical leadership and mentorship to junior PHY engineers, sharing best practices for automation and AI-assisted development.
- Serve as the primary contact for all PHY and RF-related aspects.
- Define and document system-level requirements.
- Continuously optimize and fine-tune PHY-layer algorithms for enhanced base-station product performance and efficiency.
- Develop automation and internal tooling to streamline PHY development, integration, and lab testing.
- Understand, extend, and maintain existing codebases and repositories responsibly.
- Design and develop new tools such as test harnesses, analysis utilities, and reporting dashboards for PHY bring-up and validation.
- Collaborate with cross-functional teams for seamless integration of PHY components with software, DSP, and other subsystems.
- Perform hands-on lab work.
Requirements
- Minimum 4 years of experience in wireless communication / PHY-layer development or integration.
- Good understanding of RX and TX PHY and RF chains.
- Deep understanding of wireless communication systems.
- Working experience with RF lab test equipment.
- Solid experience with scripting languages (e.g., Python) for automation and tool development.
- Demonstrated ability to read, understand, and extend existing codebases and build new tooling.
- Experience using AI tools (e.g., AI coding assistants / LLM-based workflows) to improve development, debugging, and productivity.
- Good system-level understanding in a multi-disciplinary environment (HW, SW, RF).
- Excellent communication skills in Hebrew and English (written and verbal).
- Ability to thrive in a global multi-site environment.