Role Overview
As a Space Edge Computing Engineer, you will design, develop, and optimize onboard satellite processing pipelines that run on resource-constrained space-grade computing platforms. You will help enable real-time data processing, bandwidth optimization, and autonomous decision-making in space.
Key Responsibilities
• Design and optimize onboard processing pipelines for SAR and MSI payloads. • Convert raw payload data into Level-1 and Level-2 products directly on-orbit. • Optimize compute, memory, power, and storage usage on satellite hardware. • Develop high-performance software using C++, Rust, and Python.
• Develop high-performance software using frameworks like CUDA/OpenCL, ONNX Runtime etc. • Accelerate algorithms on FPGA, ARM, GPU, and AI accelerator architectures. • Implement data compression, transmission optimization, and edge AI inference. • Build simulation and validation frameworks for pre-flight testing. • Collaborate with payload, avionics, mission operations, and AI teams.
Requirements
• Bachelor's or Master's in Computer Science, Electronics, Aerospace, Robotics, or related field.
• 1+ years experience in relevant fields. • Strong proficiency in C++ and Python. • Experience with embedded systems, Linux, performance optimization, and parallel computing. • Basic understanding of image processing, signal processing, or computer vision fundamentals.
Benefits
• Experience in SAR processing, remote sensing, geospatial analytics, FPGA development, CUDA/OpenCL, ONNX Runtime, TensorRT, or edge AI deployment. • Familiarity with satellite systems, space-grade hardware, CubeSats, or avionics software.