C++ Computer Vision AI Engineer

				Overview:

We are seeking a skilled and motivated Computer Vision Engineer to join our team. In this role, you will bridge the gap between high-level machine learning research and high-performance production environments. You will be responsible for building robust SDKs, automating deployment pipelines, and ensuring our models run efficiently across a diverse hardware landscape, from edge SoCs to powerful cloud GPUs. 

Responsibilities:

* SDK Development (C++) Design, develop, and maintain high-performance software development kits (SDKs) to expose computer vision capabilities to end-users and internal products. 

* Model Deployment and Integration Port, convert, and deploy machine learning models across various hardware targets, including Qualcomm SoCs, Intel CPUs, and NVIDIA GPUs. 

* Performance Optimization Use hardware-specific toolkits to optimize model throughput without sacrificing accuracy. 

* Evaluation & Benchmarking Conduct rigorous testing and evaluation of models on target hardware to ensure performance metrics meet expectations. 

* Automation Build and maintain automation scripts and CI/CD pipelines using Python to streamline the model testing and deployment life cycle. 

Qualifications:

* Deep understanding of C++14/17/20, including STL, memory management, and multi-threading.
* Strong ability to write clean, maintainable Python for automation, and data processing.
* Hands-on experience with at least one of the following frameworks:
* SNPE/QNN (Qualcomm)
* OpenVino (Intel)
* TensorRT (Nvidia)
* TensorFlow Lite

* Familiarity with Docker for creating consistent development and deployment environments.

Bonus:

* Understanding Deep Learning fundamentals (CNNs, Transformers, Object Detection).
* Experience with model conversion and quantization (i.e. PTQ, QAT).
			

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