Edge AI Deployment Specialist

3 days ago


Berkeley, California, United States Zendar Full time
At Zendar, we're shaping the future of safety and autonomy in mass-market vehicles by leveraging cutting-edge AI technology. Our team is seeking an experienced Edge AI Deployment Specialist to join our ranks and help us bring our innovative solutions to market. In this pivotal role, you'll be responsible for optimizing and deploying our machine learning models on targeted edge compute platforms, ensuring seamless integration with our perception module. Your expertise in designing and optimizing neural network models for edge deployment will be instrumental in driving our success. With your extensive knowledge of model quantization, quantized aware training, and other efficiency-enhancing techniques, you'll play a critical part in shaping the future of edge AI.

Your Responsibilities:
  • Understand and analyze the capabilities, TOPS, and memory bandwidth of each target platform.
  • Design or adapt models to align with the hardware specifications and supported operations of the edge device.
  • Train and test models to ensure they meet all runtime and performance requirements.

Requirements:
3+ years of experience in optimizing deep neural networks and deploying them across diverse compute platforms. Proficiency in modern Python and C++. Expertise in designing and optimizing neural network models for edge deployment. Familiarity with model quantization, quantized aware training, NAS and model pruning, and other techniques for efficient deployment on edge devices. Experience in training, testing, and verifying optimized neural network models. Proficient in at least one major deep learning framework (e.g., PyTorch, TensorFlow).

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