Space Edge Computing Engineer
GalaxEye · Aerospace & Defense
- Bengaluru, India
- On-site
- Posted 6 days ago
- Core Engineering
- Full time
About the job
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.