A deep-tech startup backed by well-known strategic partners is looking for talented professionals who are drawn to solving research and development challenges and are innovative by heart and mind
Our goal is to Research, Harness, and Deploy complex deep learning modules over edge devices for extreme computer vision challenges.
We are looking for an experienced C++ developer to join our fearless R&D team. As a senior software engineer, you will take part in the development and implementation of cutting edge, highly optimized computer vision, and image processing algorithms on edge devices.
We are assembling a pioneering Computer vision and Deep Learning Research team, made to solve real-life in-the-wild challenges under the meaningful mission of lifesaving.
o Develop and manage infrastructure for embedded devices and code optimization. o Code over various software layers and architectures such as DSP/CPU/GPU/TPU o Developing efficient image processing blocks for various deep learning models and hardware architectures
o Perform code run time and memory footprint profiling and optimizations on various platforms. o Work closely with the research team to deploy deep learning models on edge devices.
o BSc or MSc in Computer Science, Electrical Engineering or relevant field.
o At least five years of experience in C++ (11 and/or above) development.
o Familiarity with Linux software development environment.
o Strong capabilities performing and taking ownership of the complete workflow of tasks: from planning, through coding, till testing on the edge device.
o Experience in DSP programming and signal processing.
o Experience in optimization and deployment of computer vision algorithms on edge devices. o Experience in developing image processing algorithms on GPU platforms, using CUDA / OpenCL. o Worked in a company that implemented deep learning models on edge devices. o Experience in implementing deep learning models on edge devices.
o Experience working with ROS framework.
o Familiarity with deep learning frameworks such as TensorFlow, PyTorch, Keras
Small (0 - 50)