Job Description

We are seeking a highly skilled Embedded Edge AI / Computer Vision Engineer to design, develop, and deploy real-time AI inference solutions on embedded processors and heterogeneous platforms, including ARM SoCs, MCUs, and FPGA-based systems.

Key Responsibilities

  • Design and deploy real-time computer vision and AI inference pipelines on embedded ARM and FPGA-based platforms.
  • Implement inference engines using C++ (primary) and Python.
  • Optimize AI models for latency, memory, and power constraints.
  • Convert and deploy models using ONNX, TensorFlow SavedModel, and TensorFlow Lite.
  • Integrate streaming and device communication using MQTT, TCP, and UDP.
  • Develop deployment workflows using Docker and embedded CI pipelines.

Required Skills

  • Strong C++ for embedded systems
  • Python for AI pipelines and tooling
  • ARM-based embedded Linux experience
  • FPGA integration knowledge
  • OpenCV, ONNX Runtime, TensorFlow/TFLite

Nice to Have

  • Camera pipelines and sensor fusion
  • Edge security and OTA updates

What We Offer

  • Work on real-world Edge AI systems
  • Exposure to ARM and FPGA platforms
  • Growth into technical leadership roles

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