Edge AI engineer (San Cugat del Vallés)

Edge AI engineer (San Cugat del Vallés)

09 ago
|
Aistech Space
|
San Cugat del Vallés

09 ago

Aistech Space

San Cugat del Vallés

Company Description
Aistech Space is focused on generating affordable, recurrent, high-resolution thermal imagery of the planet to provide a new perspective of Earth’s changing resources. Based in Barcelona, we are revolutionizing remote sensing through advanced space technologies and artificial intelligence, delivering innovative solutions for environmental monitoring and resource management.

What You Will Do
Aistech Space is seeking a highly specialized Edge AI Engineer to serve as the critical bridge between Data Science, Software, and Hardware Engineering teams. This role is focused on the successful integration, deployment, and performance optimization of machine learning models across highly constrained operational environments, including in-orbit systems (satellites, Coral TPUs, AMD Versal SoCs), ground processing infrastructure, and cloud-based platforms.
You will drive the complete deployment lifecycle of AI models, ensuring our space-borne and ground-based AI systems are reliable, ultra-efficient, and optimized for real-time execution.



Working closely with multidisciplinary engineering teams, you will transform research models into operational flight software while continuously evaluating new hardware accelerators and Edge AI technologies to expand Aistech Space’s capabilities.

Required Skills and Experience
Education: Master’s or PhD in Computer Engineering, Electrical Engineering, Computer Science, or a related technical field.
Languages: Fluency in English.
Embedded Experience: 2+ years of professional experience in Embedded Software Development or Hardware-Software Co-design.
Programming: High proficiency in C/C++ for low-latency, real-time embedded execution, and Python for scripting, model conversion, and prototyping.
Development Environment: Strong experience with Linux environments, cross-compilation toolchains, and collaborative development using Git/GitHub.
Hardware Acceleration: Hands-on experience working with Neural Processing Units (NPUs /

📌 Edge AI engineer (San Cugat del Vallés)
🏢 Aistech Space
📍 San Cugat del Vallés

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