We are looking for

AI & GPGPU Embedded Software Student Engineer for our Aerospace site in Haifa

Join a software R&D group that specializes in implementing, deploying and optimizing algorithms on airborne edge computing platforms, combining AI and GPGPU acceleration. As a student in our team, you will work on performance-critical embedded, real-time software for advanced multi-sensor data processing systems, running on multi-core x86/ARM CPUs and NVIDIA GPUs in Linux and Windows environments. This is your opportunity to gain hands-on experience building real-time processing pipelines for 2D and 3D sensors such as cameras, radar and LiDAR, integrating AI inference, and optimizing system performance on edge platforms. Come be part of meaningful work that makes a real impact

In this role you will

Develop and optimize performance-critical software in modern C++, including multi-threaded and multi-core components

Implement and integrate AI solutions including deep learning inference and related pipelines with real constraints such as latency, memory and throughput on target hardware

Apply GPGPU acceleration and parallel computing techniques such as CUDA to improve performance on edge targets

Collaborate with algorithm, software and system engineers throughout the development lifecycle

Profile, debug and optimize system performance using modern tools and engineering best practices

Requirements

Second or third-year B.Sc student in Computer Science, Software Engineering or equivalent, with at least one year remaining until graduation

At least one year of experience in C++ development and debugging

Experience with modern C++ (C++11 or newer) - advantage

Experience in Linux development - advantage

Familiarity with computer vision and parallel computing such as CUDA, OpenCV, OpenCL - advantage

Familiarity with deep learning and AI including inference and model deployment - advantage

Familiarity with Python, Boost, CMAKE, GIT, CI/CD workflows and GenAI tools - advantage

Ability to thrive in a dynamic environment with changing goals and requirements

Only relevant applications will be answered

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