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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. The company is based in Barcelona and aims to revolutionize remote sensing for environmental monitoring and resource management. What you will do: Aistech Space is looking for a RF Hardware Engineer to be part of the Space Infrastructure Team in charge of designing, analysing, integrating and testing high-sensitivity receiver chains (Antenna to ADC) used for different applications. In this role, you are expected to deal with the different Aistech departments, suppliers, clients, R&D proposals, bureaucratic paperwork, launch plans and a long list of activities to push the company forward. The main responsibility for this job position is contributing technically a heterogeneous team of engineers/scientists/sw developers to deliver the next payloads into orbit and ensure the performance of the RF payloads. You will also be responsible to follow internal standards and good practices in terms of project management, documentation and time management following an agile approach in your daily work and ensuring the team is also doing it. The daily tasks to be achieved in this position are: Understand Aistech Space’s mission objectives. Support RF Subsystem Design by Assisting in the design of receiver front-ends, including LNAs, filters, mixers, and frequency conversion stages. Maintain and update link budgets to ensure the payload can detect weak signals (signals of opportunity) across various orbital altitudes and slant ranges. Perform circuit-level simulations (ADS/AWR) and basic EM simulations (HFSS/CST) to de-risk RF board designs. Perform hands-on bring-up and testing of RF prototypes using Spectrum Analyzers, VNAs, and Signal Generators. Work with Software Defined Radios (SDRs) to validate the antenna-to-bits signal chain and characterize hardware impairments (IQ imbalance, DC offset). Be able of writing your own code when needed, follow internal standards, make it testable and document it properly. Be part of the negotiation team, working closely with our partners and suppliers, understanding their proposal and adjusting it to our objectives. Keep the best communication between internal teams: ground, user and operations infrastructure teams aligned with business development. Recommend the adoption of new technologies, products, and services. Write articles regarding different areas of interest to be published in our Aistech News magazine and on our website blog. Actively engage in the development of documentation to build out the company procedures and specification manuals. Who you are: Must: BSc/MSc in Aerospace, Electronics, Telecommunications or relevant degree. 2–5 years in RF/Microwave engineering. Open minded and extrovert, active learner and tolerant to criticism. Ability to analyze and select RF components (LNAs, filters, mixers, oscillators) based on application needs, performing technical trade-off studies and bench-top validation against mission requirements. Ability to use RF simulation tools (ADS, Microwave Office, or HFSS) and PCB design tools. Comfortable using a VNA to measure S-parameters and a Spectrum Analyzer to find spurs/noise floors Ability to calculate FSPL, Noise Figure, and SNR requirements for a basic communications or radar link. Proficiency in Python for data analysis and test automation. Working knowledge of Agile methodologies. Fluent in English. Nice to have: Experience in any related projects with RF Payloads (VHF, UHF, S-Band, X-Band, Ku Band). Understanding of high-stability oscillators (TCXO/OCXO).. Familiarity with Basic DSP concepts (TDOA, FDOA, or AoA).. Experience with SDRs (Ettus USRP, …) and GNU Radio. Where you will be: You will be working on-site in the headquarters offices of Sant Cugat in Barcelona. 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. 23 vacation days, plus December 24 & 31 off, plus your Birthday day Off. 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.

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. The company is based in Barcelona and aims to revolutionize remote sensing for environmental monitoring and resource management. Aistech Space is seeking a highly specialized Machine Learning and Embedded AI Systems Engineer to serve as the critical bridge between data science, software, and hardware development. This role is focused on the successful integration and performance optimization of ML models across diverse and often constrained operational environments, including in-orbit systems (satellites, embedded TPUs), on-ground processing, and online platforms. The successful candidate will drive the deployment lifecycle, ensuring our AI systems are reliable and performant across the entire Aistech Space ecosystem. Key Responsibilities: Embedded Deployment: Collaborate with FPGA hardware, embedded software, and data science teams to deploy AI solutions directly onto satellites and other constrained Edge AI devices. Algorithm Conversion: Implement high-performance solutions by transferring and optimizing algorithms initially created in Python into robust C/C++ codebases. Infrastructure Development: Research, recommend, and implement new hardware and software solutions to improve the company’s overall AI infrastructure. Performance Optimization: Ensure AI models are highly optimized for efficiency, especially when utilizing hardware accelerators like GPUs and NPUs. Team Support: Provide computational and deployment support to the Remote Sensing and Data Science teams. Who you are : Must: Masters/PhD in Computer Science, Engineering, or a related technical field. Fluency in English. More than 2 years of professional experience in Embedded Software Development. Programming fluency in C, C++, and Python. Proficiency with Linux environments and collaborative development using GitHub. Experience with hardware acceleration technologies, including Graphics Processing Units (GPUs) and Neural Processing Units (NPUs). Expertise in ML/Deep Learning deployment frameworks, such as TensorFlow Lite, ONNX Runtime, or PyTorch Edge. Working knowledge of MLOps principles for training/evaluation pipelines and automated model delivery/monitoring. Critical bonus skills (high priority) Experience with AMD Versal AI engines and Vitis Model Composer (Kernel development, data flow optimization, model quantization/pruning, Vitis IDE, and performance analysis are a plus). Experience deploying models via web services, dashboards, and APIs (e.g., FastAPI, Flask, gRPC) and using cloud services/containerization (GCP, AWS, Azure, Docker, Kubernetes). Familiarity with High-Performance Computing (HPC) and job scheduling systems like SLURM. Nice to have: Familiarity with containerization on constrained systems (e.g., Singularity, microcontainers). Knowledge of data compression techniques for in-orbit data handling. Prior experience in the aerospace or remote sensing industries. 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. 23 vacation days, plus Birthday, December 24 & 31 off. Where you will be: You will be working in the Barcelona HQ in Sant Cugat. 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.

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. The company is based in Barcelona and aims to revolutionize remote sensing for environmental monitoring and resource management. What you will do: A Drive Company-Wide Infrastructure: Take ownership of the cloud-native infrastructure (GCP) that powers our entire software organization. You will ensure our environments are modular, reproducible, and ready to scale as our satellite constellation grows. Enable Engineering Autonomy: Your primary goal is to remove operational friction. You will design and provide the self-service infrastructure tools and automated workflows that allow any developer to provision and manage their own services independently. Evolve the Stack: Maintain and improve our current OpenTofu/Terragrunt and Argo CD ecosystems. You will evaluate and implement architectural improvements to keep our platform at the cutting edge of reliability and efficiency. Hybrid Product Delivery: Act as a software engineer specializing in infrastructure. When the platform is stable, you will contribute directly to backend services (Python/Go) to help the company meet critical delivery milestones and ensure application-level best practices. Define Reliability & Security Standards: Architect zero-trust security (OpenBao, Keycloak) and comprehensive observability into the automated deployment lifecycle, ensuring the most secure and reliable path is also the easiest one for developers to follow. Who you are: The Must-Haves: The Enabler Mindset: 3–5+ years of experience in DevOps, SRE, or Platform Engineering. You measure your success by the velocity of your peers and view other developers as your primary customers. Strong Developer Foundations: Proficient in Python (required). You are comfortable reading, writing, and refactoring application code, not just writing automation scripts. IaC & GitOps Expert: Deep experience with Infrastructure as Code ( Terraform/OpenTofu ) and GitOps methodologies ( Argo CD ). You understand how to manage state and complexity in a layered architecture. Kubernetes Orchestrator: Strong hands-on experience with Kubernetes (GKE) and configuration management (Kustomize/Helm). Communication & Partnership: You are a proactive communicator who advocates for solutions that empower others rather than processes that block them. The Nice-to-Haves: Golang Proficiency: Experience contributing to production services in Go. Nix/Nix flakes: Familiarity with functional package management and reproducible development environments. Security & Mesh Tooling: Experience with OpenBao (Vault) , Kong API Gateway , or Keycloak . Geospatial Awareness: Background or interest in geospatial data standards such as STAC and COG . 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. 23 vacation days, plus December 24th and 31st off and your birthday too. Where you will be: You will be working on-site in the headquarters offices of Sant Cugat in Barcelona. 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.

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. The company is based in Barcelona and aims to revolutionize remote sensing for environmental monitoring and resource management. Our vision is focused on a key sentence: “See the Unseen, protect what matters most on Earth”. What you will do: Aistech Space is looking for a Scientist in Maritime Remote Sensing to lead the development and deployment of Machine Learning (ML) models focused on maritime applications using earth observation data in our Remote Sensing Team. You will be responsible for creating image processing chains, integrating external data, and developing models for vessel detection and maritime security. You will collaborate closely with data scientists and software developers to transition these models and derived products from prototype to seamless deployment, integrating them into internal tools, applications, operational products, and onboard satellite systems. The daily tasks to be achieved in this position are: Integrate and deploy Machine Learning (ML) models, specifically including YOLO and Random Forest models. Develop and maintain robust image processing chains for VIS, NIR, and Thermal Infrared (TIR) bands to create ML-ready datasets. Develop, update, and maintain ML models, specifically focusing on vessel detection and other applications pertinent to maritime navigation and security. Develop tools and automated pipelines for continuous model validation, monitoring, versioning, and retraining. Collaborate with data scientists to move ML models from prototype to deployment, and with software developers to embed models into user-facing applications and internal tools. Utilize expertise in geospatial data analytics to process imaging products, integrating external data (such as AIS) to enhance detection models and automate processing. Create and maintain comprehensive technical documentation for deployment pipelines and operational models. Who you are: Must: BSc/MSc in Engineering, Environmental Sciences, Physics, Mathematics or relevant degree. Experience in working with remote sensing data in the thermal infrared region (e.g. Landsat, Aster, Sentinel-3, MODIS,...) (+3 years) Experience in geospatial image processing using Python/R/Javascript (+3 years) Experience with vessel detection or marine applications using remote sensing technologies. (+ 3 years) Proficiency in processing Synthetic Aperture Radar (SAR) data, including platforms like Sentinel-1. Knowledge of data structures to accommodate both vector and raster geospatial datasets into ingestion pipelines for a geospatial platform. Fluency in English. Nice to have: Knowledge of relational and/or NoSQL database technologies. Knowledge of APIs for data acquisition and data dissemination. Knowledge of Agile methodologies. 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. 23 vacation days, plus Birthday, December 24 & 31 off. Where you will be: You will be working in the Barcelona HQ in Sant Cugat. 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.

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