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.