AI & GPGPU Embedded Software Student Eng

<div style="text-align: left"><b>We are looking for</b></div><div style="text-align: left">AI & GPGPU Embedded Software Student Engineer for our Aerospace site in Haifa</div><div style="text-align: left">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</div><div style="text-align: left"><br></div><div style="text-align: left"><b>In this role you will</b></div><div style="text-align: left">Develop and optimize performance-critical software in modern C++, including multi-threaded and multi-core components</div><div style="text-align: left">Implement and integrate AI solutions including deep learning inference and related pipelines with real constraints such as latency, memory and throughput on target hardware</div><div style="text-align: left">Apply GPGPU acceleration and parallel computing techniques such as CUDA to improve performance on edge targets</div><div style="text-align: left">Collaborate with algorithm, software and system engineers throughout the development lifecycle</div><div style="text-align: left">Profile, debug and optimize system performance using modern tools and engineering best practices</div><div style="text-align: left"><br></div><div style="text-align: left"><b>Requirements</b></div><div style="text-align: left">Second or third-year B.Sc student in Computer Science, Software Engineering or equivalent, with at least one year remaining until graduation</div><div style="text-align: left">At least one year of experience in C++ development and debugging</div><div style="text-align: left">Experience with modern C++ (C++11 or newer) - advantage</div><div style="text-align: left">Experience in Linux development - advantage</div><div style="text-align: left">Familiarity with computer vision and parallel computing such as CUDA, OpenCV, OpenCL - advantage</div><div style="text-align: left">Familiarity with deep learning and AI including inference and model deployment - advantage</div><div style="text-align: left">Familiarity with Python, Boost, CMAKE, GIT, CI/CD workflows and GenAI tools - advantage</div><div style="text-align: left">Ability to thrive in a dynamic environment with changing goals and requirements</div><div style="text-align: left"><br></div><div style="text-align: left">Only relevant applications will be answered</div><div style="text-align: left">#Haifa</div><div style="text-align: left"><br></div>