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.
Solid 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.

Advantages
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.

📌 Space Edge Computing Engineer Bengaluru
🏢 GalaxEye
📍 Bengaluru