Real Time Computer Vision Developer

Join our Computer Vision, Signal Processing and AI Group within ISTAR & EW Division at our Rehovot site and become part of a team pushing the boundaries of what's possible in defense technology

We're seeking a strong real-time/signal processing software developer familiar with the implementation of computer vision algorithms. Our systems require the efficient and reliable implementation of advanced algorithms, pushing far beyond the publicly known algorithmic solutions - this is your opportunity to make a real impact

Implement and optimize algorithms for real-time processing in operational environments

Collaborate with system engineering and software development teams to integrate solutions

Perform deep operations-research of algorithms as they operate on real and synthetic data

Contribute to system-level understanding and integration of complex solutions

Requirements

B.Sc. in Computer Science, Computer Engineering, or a related field from a recognized university

At least 5 years of hands-on C++ programming experience, including optimization for parallel processing

At least 3 years of hands-on experience in Embedded or Edge computing environments, particularly Embedded Linux

Practical experience in deep learning frameworks and model implementation

High-level communication skills and ability to work effectively in multi-interface environments

Ability to manage multiple concurrent projects and tasks

Experience with standard development tools: Git, GitHub Copilot, and Jira

Experience working with hardware peripherals such as FPGA and PCIe devices - advantage

Experience with Gen-AI based code generation, optimization and testing - advantage

Significant experience in image processing algorithm implementation - advantage

Expertise in writing and optimizing substantial codebases using CUDA - advantage

Experience deploying deep learning models using TensorRT or ONNX Runtime - advantage

Proficiency in Python - advantage

* Only relevant applications will be answered

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