Define the use case driven imaging and computer vision capabilities. Design, develop, and optimize computer vision algorithms in the areas of object detection, object tracking, SLAM, multi camera and camera calibration. Research, design, and drive end-to-end solutions for novel imaging and computer vision, deep learning, and AR based video and live view user experiences. Design, architect, and develop the end-to-end imaging and CV SW pipeline and application abstractions/APIs.

Minimum Requirements:

Master’s degree or foreign equivalent in Computer Engineering, Robotics, or a closely related field. Must have experience or academic training with: Working on Deep Neural Network architectures, including Transformers, CNNs, and RNNs and optimizing these networks for high performance execution on edge devices and specialized hardware; Using Python for R&D and prototyping and C++ for production-level edge implementation; Applying PyTorch and TensorFlow for model training, architectural experimentation, and optimization; Managing large-scale clusters using Kubernetes and Ray.

Sr. Computer Vision Engineers

Responsibilities

Qualification

Required

Benefits

Company

rivianvw.tech

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