Fast, qualified, and aligned with your mission.
Powered by GNSS Academy — a leading provider of high-level technical training in Europe — AGORA bridges the gap between your hiring needs and the engineers prepared to meet them
AGORA–Companies is the direct gateway for aerospace, space-tech, defense, and innovation organizations to access vetted engineering talent trained across space disciplines: navigation, signal processing, satellite systems, data, embedded tech, and more.
Our talent pool includes more than 5,000 European engineers—from early-career professionals to seasoned experts—bringing diverse backgrounds across engineering fields and an extensive set of hard and soft skills.
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Junior & Senior engineers with transversal and specific skills on different fields
Engineers trained through intensive, real-world technical programs (e.g. Master JSNP, Space Bootcamps)
Specializations across GNSS, PNT, RF systems, software, embedded systems, robotics, aerospace engineering, space operations, and AI for space
Profiles ranging from interns to junior and mid-level engineers
Many are already visible on GitHub, LinkedIn, and have delivered technical GNSS or space-focused projects
Python (core in GNSS, EO, automation, and AI)
C/C++ (firmware, embedded systems, real-time applications)
MATLAB/Simulink (modeling, control systems, signal processing)
Git/GitHub (version control and collaboration)
Shell scripting / Bash (automation, Linux systems)
Cloud computing platforms (AWS, Azure, Google Cloud)
Data pipelines & APIs (REST, GraphQL, OpenEO)
Containers & deployment (Docker, Kubernetes)
CI/CD pipelines (GitHub Actions, Jenkins)
Big Data tools (Dask, Spark, Earth Engine)
Machine Learning libraries (Scikit-learn, XGBoost, LightGBM)
Deep Learning frameworks (TensorFlow, PyTorch, Keras)
Computer Vision (OpenCV, YOLO, segmentation models)
Digital Signal Processing (Fourier, filtering, transforms)
GNSS/EO signal chain awareness
Sensor fusion frameworks (Kalman filters, INS+GNSS)
Data compression & telemetry decoding
Real-time data acquisition & preprocessing
Numerical methods (integration, optimization)
Scientific libraries (NumPy, SciPy, pandas, xarray)
Simulation tools (STK, GMAT, Orekit)
Model validation and performance tuning
Uncertainty quantification & Monte Carlo methods
ROS (Robot Operating System)
RTOS (Real-Time Operating Systems)
Embedded Linux systems
System modeling (SysML, UML)
Digital twins and simulation platforms
Data visualization tools (Matplotlib, Plotly, Bokeh)
Dashboards (Dash, Streamlit, Grafana)
Geospatial visualizations (QGIS, Folium, CesiumJS)