ph3bCompany Description /b /h3pAistech 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. /ph3bWhat You Will Do /b /h3pAistech Space is seeking a highly specialized bEdge AI Engineer /b 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. /ppYou 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. /ph3bRequired Skills and Experience /b /h3pbEducation: /b Master’s or PhD in Computer Engineering, Electrical Engineering, Computer Science, or a related technical field. /ppbLanguages: /b Fluency in English. /ppbEmbedded Experience: /b 2+ years of professional experience in Embedded Software Development or Hardware-Software Co-design. /ppbProgramming: /b High proficiency in C/C++ for low-latency, real-time embedded execution, and Python for scripting, model conversion, and prototyping. /ppbDevelopment Environment: /b Strong experience with Linux environments, cross-compilation toolchains, and collaborative development using Git/GitHub.



/ppbHardware Acceleration: /b Hands-on experience working with Neural Processing Units (NPUs / Edge TPUs) and Field Programmable Gate Arrays (FPGAs / Adaptive SoCs). /ppbDeployment Frameworks: /b Strong expertise in ML deployment and optimization frameworks such as TensorFlow Lite (including the Edge TPU Compiler), ONNX Runtime, or Vitis AI. /ppbModel Optimization: /b Solid understanding of INT8 quantization, pruning, and weight compression techniques for edge deployment. /ph3bCritical Bonus Skills (High Priority) /b /h3pbAMD Versal Vitis: /b Experience with AMD Versal AI Engines, Vitis AI, Vitis Model Composer, Vivado, DPU integration, AIE-ML kernel optimization, and hardware-level performance analysis. /ppbHybrid Cloud/Edge MLOps: /b 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. /ppbHigh-Performance Computing: /b Familiarity with HPC environments and workload management systems such as SLURM. /ph3bBonus Skills /b /h3ulliFamiliarity with lightweight containerization technologies for constrained systems (e.g., Singularity, microcontainers). /liliKnowledge of advanced data compression algorithms and telemetry constraints for in-orbit data transmission. /liliPrevious experience within the aerospace, NewSpace, or remote sensing industries. /li /ulh3bResponsibilities /b /h3ulliCollaborate 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. /liliConvert and optimize machine learning algorithms developed in Python into high-performance, deterministic C/C++ implementations suitable for embedded execution. /liliDesign, build, and maintain end-to-end ML deployment pipelines spanning cloud-based training environments through in-orbit edge execution. /liliResearch, evaluate, benchmark, and integrate emerging Edge AI hardware accelerators and deployment toolchains to continuously improve Aistech Space’s AI capabilities. /liliProvide computational, model conversion, and deployment support to the Remote Sensing and Data Science teams, enabling research models to become operational flight software. /liliSupport multidisciplinary engineering teams throughout the AI deployment lifecycle, ensuring robust, reliable, and high-performance embedded AI solutions. /li /ulh3bWhere you will be: /b /h3pYou 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. /ph3bWhat You’ll Gain by Joining Us /b /h3ulliBe part of a passionate, collaborative, and respectful team. /liliEnjoy a stable, permanent contract with a fast-growing company. /liliFlexible working hours and hybrid work: 6 days/month from home. /liliCompetitive salary and adaptable retribution through Cobee. /liliFree access to paddle tennis courts and an on-site gym. /liliDaily fresh fruit and coffee to keep you energized. /liliWork in an international, diverse environment. /lili23 vacation days, plus December 24 31 off, plus your Birthday day Off. /li /ulpTo 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. /p /p #J-18808-Ljbffr

📌 EdgeAI Engineer (Barcelona)
🏢 Aistech Space
📍 Barcelona