Edge AI Engineer – Space & Satellite ML Deployments

Aistech Space; Sant Cugat del Vallès; Híbrido; EUR 60.000 - 110.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Hybrid work

On-site gym

Paddle tennis courts

Daily fruit & coffee

Descripción de la vacante

Aistech Space, based in Barcelona, is seeking an Edge AI Engineer to bridge Data Science, Software and Hardware teams. You will deploy, profile and optimize ML models across constrained environments, including satellites, Coral TPUs, and FPGA/Adaptive SoCs.

The role focuses on real-time, energy-efficient AI running on edge devices and ground/cloud platforms. You will transform research models into operational flight software, evaluate new hardware accelerators, and enhance deployment pipelines

Formación

• Master’s or PhD in Computer Engineering / Electrical Engineering / Computer Science or related field.
• Fluency in English.
• 2+ years in Embedded Software Development or Hardware-Software Co-design.
• Proficient in C/C++ for low-latency embedded execution and Python for scripting/prototyping.
• Strong Linux experience, cross-compilation toolchains, Git/GitHub.
• Hands-on with NPUs/Edge TPUs and FPGAs/Adaptive SoCs.
• Experience with ML deployment/optimization frameworks (TensorFlow Lite, ONNX Runtime, or Vitis AI).
• Knowledge of INT8 quantization, pruning and weight compression for edge deployment.

Responsabilidades

• Collaborate with FPGA, Embedded Software and Data Science teams to deploy and maintain AI solutions on satellites and constrained Edge AI platforms.
• Convert and optimize Python ML algorithms into high-performance deterministic C/C++ implementations for embedded execution.
• Design, build and maintain end‑to‑end ML deployment pipelines from cloud training to in-orbit edge execution.
• Evaluate and integrate emerging Edge AI accelerators and deployment toolchains to improve AI capabilities.
• Provide deployment support to Remote Sensing and Data Science teams to turn research models into flight software.
• Ensure robust, reliable and high-performance embedded AI solutions across the stack.

Conocimientos

C/C++

Python

Linux

Git / GitHub

Hardware acceleration

Educación

Master’s or PhD in Computer Engineering

Herramientas

TensorFlow Lite

ONNX Runtime

Vitis AI

Descripción del empleo

Aistech Space, based in Barcelona, is seeking an Edge AI Engineer to bridge Data Science, Software and Hardware teams. You will deploy, profile and optimize ML models across constrained environments, including satellites, Coral TPUs, and FPGA/Adaptive SoCs.

The role focuses on real-time, energy-efficient AI running on edge devices and ground/cloud platforms. You will transform research models into operational flight software, evaluate new hardware accelerators, and enhance deployment pipelines