AI & GPGPU Embedded Software Student Eng

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 #Haifa