Embedded AI Developer

2 weeks ago

Yehud Monosson Center District, Israel Real Time Group - Software Solutions Full time

Real Time Group, LTD
is looking for a skilled
Real-Time Embedded Developer with expertise in Artificial Intelligence (AI),

algorithms and a multidisciplinary system understanding. The candidate is required to be a proven professional in the field of real-time, embedded computers, algorithm implementation, AI, GPU, NVIDIA processors, with an expertise in parallel programming (CUDA) and communications and with a proven ability to design a complex system.

Job Responsibilities:

  • Develop and maintain
    efficient, reliable, and testable real-time firmware in
    C/C++
    for various microcontrollers (MCUs) and microprocessors (MPUs).
  • Design, implement, and optimize
    RTOS
    applications for determinism, low latency, and efficient resource utilization..
  • Perform hardware-software integration
    and debugging using tools like oscilloscopes, logic analyzers, and in-circuit emulators/debuggers.
  • Develop and implement
    communication protocols (e.g., SPI, I2C, UART, Ethernet, Wi-Fi, Bluetooth LE).
  • Contribute to the entire software development lifecycle
    , including requirements definition, design, coding, testing, and deployment.
  • Collaborate
    with hardware engineers to define specifications, select components, and bring up new hardware platforms.

Job Requirements:

Embedded Systems Expertise:

  • Bachelor's or Master's degree
    in Electrical Engineering, Computer Science, or a related technical field.
  • 5+ years
    of professional experience in
    embedded software development
    .
  • Expert-level proficiency in
    C and C++
    for embedded systems.
  • Hands on experience with
    RTOS concepts.
  • Proven experience with
    bare-metal programming
    and understanding of hardware-software interfaces.
  • Strong debugging skills for challenging real-time issues, including race conditions and priority inversion.

AI Expertise:

  • Solid understanding of A
    lgorithm Implementation, AI, GPU, NVIDIA processors.
  • Experience with parallel programming (CUDA) and communications

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