Job Description

Job Description

  • Compressing AI models to fit on resource-constrained devices using techniques like quantization, pruning, and architecture refinement;
  • Deploying models onto edge hardware (e.g., NVIDIA Jetson, Raspberry Pi) and maximizing performance;
  • Creating efficient algorithms for immediate on-device analyticsM
  • Programming in low-level languages to ensure high performance and low power consumption.

Qualifications

  • Bachelor's degree in Computer Science, Engineering, or a related field;
  • Proficient in Python and C/C++;
  • Familiarity with TensorFlow Lite, PyTorch, ONNX or Edge Impulse;
  • Experience with microcontrollers, DSPs, and AI accelerators;
  • Model quantization, pruning, and knowledge distillation;
  • Good level of English written and spoken.


Additional Information

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