ML and DSP Real-time Embedded Engineer

11 hours ago

Ramat Gan, Tel Aviv, Israel Q AI Full time ₪80,000 - ₪120,000 per year

Job Summary:

We are seeking a highly skilled and motivated ML and DSP real-time embedded Engineer to join our firmware team. In this role, you will be responsible for implementing cutting-edge machine learning and digital signal processing algorithms for our next-generation products. You will be a key contributor to the entire product development lifecycle, from concept to deployment, ensuring that our products are intelligent, efficient, and provide a seamless user experience.

Key Responsibilities:

  • Implement and deploy machine learning inference models on resource-constrained embedded platforms.
  • Implement and optimize real-time DSP algorithms for various sensor data streams (e.g., audio, motion, etc.).
  • Collaborate with algorithm and software teams to integrate ML and DSP algorithms into the firmware.
  • Profile and optimize code to meet strict performance, power, and memory requirements.
  • Develop and maintain firmware in C/C++ for embedded systems.
  • Participate in the entire software development lifecycle, including requirements gathering, design, implementation, testing, and deployment.
  • Stay up-to-date with the latest advancements in ML, DSP, and embedded systems.

Required Qualifications:

  • Bachelor's or Master's degree in Electrical Engineering, Computer Engineering, Computer Science, or a related field.
  • 10+ years of professional experience in embedded firmware development, with a significant focus on ML and DSP implementation.
  • Deep expertise in ML inference for embedded systems, including:
  • Experience with real-time inference frameworks (e.g., TensorFlow Lite, ONNX Runtime).
  • Experience with common NPUs (e.g., ARM Ethos-U55) and their corresponding compilers (e.g., Arm Vela).
  • Deep understanding of NN model operator-level semantics.
  • Experience in developing and implementing real-time DSP algorithms in close collaboration with algorithm teams.
  • Strong programming skills in C/C++ for embedded systems, along with proficiency in Python.
  • Extensive experience with embedded hardware and systems:
  • Strong familiarity with microcontrollers and embedded processors.
  • Hands-on experience with real-time operating systems (RTOS).
  • Proven skills in low-power design and optimization techniques.
  • Excellent problem-solving and debugging skills.
  • Experience with agile development methodologies.
  • Excellent communication and teamwork skills.
  • A passion for building innovative products.

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