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.

Perks

• 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 (Karnataka)
🏢 GALAXEYE SPACE SOLUTIONS PRIVATE
📍 Karnataka