Edge AI engineer

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 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 TPUs) and Field Programmable Gate Arrays (FPGAs / Adaptive SoCs).

Deployment Frameworks: Strong expertise in ML deployment and optimization frameworks such as TensorFlow Lite (including the Edge TPU Compiler), ONNX Runtime, or Vitis AI.

Model Optimization: Solid understanding of INT8 quantization, pruning, and weight compression techniques for edge deployment.

Critical Bonus Skills (High Priority)

AMD Versal & Vitis: Experience with AMD Versal AI Engines, Vitis AI, Vitis Model Composer, Vivado, DPU integration, AIE-ML kernel optimization, and hardware-level performance analysis.

Hybrid Cloud/Edge MLOps: Experience deploying AI models through APIs and web services (FastAPI, Flask, gRPC) combined with cloud infrastructure and containerization technologies such as Docker, Kubernetes, AWS, or GCP.

High-Performance Computing: Familiarity with HPC environments and workload management systems such as SLURM.

Bonus Skills

• Familiarity with lightweight containerization technologies for constrained systems (e.g., Singularity, microcontainers).
• Knowledge of advanced data compression algorithms and telemetry constraints for in-orbit data transmission.
• Previous experience within the aerospace, NewSpace, or remote sensing industries.

Responsibilities

• Collaborate closely with FPGA, Embedded Software, and Data Science teams to deploy, profile, and maintain AI solutions on satellites and other constrained Edge AI platforms such as Google Coral and AMD Versal.
• Convert and optimize machine learning algorithms developed in Python into high-performance, deterministic C/C++ implementations suitable for embedded execution.
• Design, build, and maintain end‑to‑end ML deployment pipelines spanning cloud-based training environments through in-orbit edge execution.
• Research, evaluate, benchmark, and integrate emerging Edge AI hardware accelerators and deployment toolchains to continuously improve Aistech Space’s AI capabilities.
• Provide computational, model conversion, and deployment support to the Remote Sensing and Data Science teams, enabling research models to become operational flight software.
• Support multidisciplinary engineering teams throughout the AI deployment lifecycle, ensuring robust, reliable, and high-performance embedded AI solutions.

Where you will be

You will be working on-site in the headquarters offices of Sant Cugat in Barcelona. You will have an allocation of 6 days per month of remote working as per the internal policies of Aistech.

What You’ll Gain by Joining Us

• Be part of a passionate, collaborative, and respectful team.
• Enjoy a stable, permanent contract with a fast-growing company.
• Flexible working hours and hybrid work: 6 days/month from home.
• Competitive salary and flexible retribution through Cobee.
• Free access to paddle tennis courts and an on-site gym.
• Daily fresh fruit and coffee to keep you energized.
• Work in an international, diverse environment.

To be considered for this position, you must already have the legal right to work in the European Union. We are unable to provide visa sponsorship.