Realtime Embedded Engineer

16 hours ago


Herzliya, Tel Aviv, Israel Neuray Labs Full time

About Company & Role

neuRay Labs is an innovative company in the worlds of AI and sensor fusion, especially of radar & electro-optics sensors. Our goal is to revolutionize radar signal processing schemes in AI by leveraging visual information in order to obtain never seen before performance.

As a Realtime Embedded Engineer, you will develop software for embedded products which involves interfacing and communicating with various microcontrollers, sensors, and external devices. The ideal candidate would be fully proficient with the life cycle (SDLC) of developing embedded products.

What You'll Do

  • Plan, design & develop firmware for various radar based embedded products.
  • Implement and optimize hard real-time and DSP radar algorithms.
  • Develop with multiple MCU's and FPGA Soc's.
  • Develop embedded software including platform bring-up, drivers, peripherals and applications.
  • Cooperate with the AI group to integrate Deep Learning algorithms within embedded products.

Qualifications

  • B.Sc. in Software Engineering, Electrical Engineering or another relevant scientific degree.
  • 5+ years of experience of Embedded Software development (C/C++)
  • Experience with ARM architecture, system peripherals (SPI, UART, I2C) and low-level hardware protocols.
  • Experience with embedded software development in real time environments.
  • Knowledge of networking and communication protocols.
  • Experience with FreeRTOS & Linux environment.
  • Experience with performance / limited memory sensitive programming.
  • Experience working in Linux environments.
  • Proactive, can-do attitude and self-management skills.
  • Excellent verbal communication skills, problem solving skills and attention to details.

Advantages

  • Experience working with lab equipment including oscilloscopes, logic analyzers.
  • Experience with Python.
  • Experience with radar systems and DSP.
  • Experience with development in FPGA.
  • Familiarity with Machine Learning / Deep Learning / Computer Vision.


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