About the Role
Company: COTESA
Center for Earth Observation and Space Remote Sensing (COTESA) specializes in advanced Earth observation technologies and innovative solutions for Smart Cities, Smart Mobility, and urban planning. Leveraging remote sensing, artificial intelligence (AI), and big data, COTESA develops web and mobile applications that optimize resource management, enhance urban planning, and support precise market studies—driving technological advancement toward a more efficient and sustainable future.
What Challenges Will You Face?
You’ll tackle real-world problems where hardware constraints, latency, and environmental conditions are critical—taking AI models from research to operational field systems.
Key Responsibilities
Develop advanced real-time (near real-time) computer vision algorithms applied to video streams.
Design and implement object detection, classification, and multi-object tracking systems in video sequences.
Build perception solutions for mobile platforms (drones, autonomous vehicles, embedded sensors).
Optimize AI models for real-time inference on edge devices (e.g., NVIDIA Jetson, onboard systems).
Integrate computer vision models into video streaming pipelines (RTSP, GStreamer, etc.).
Develop automatic tracking systems using deep learning and/or classical methods.
Contribute to defining AI architectures for distributed and real-time processing systems.
Collaborate on R&D+i projects related to autonomous perception, intelligent surveillance, and defense.
Requirements for Success
Education
No specific degree is required; candidates with degrees or master’s in mathematics, physics, computer science, telecommunications, or other technology fields related to big data or robotics will be considered.
Complementary training in big data, AI, machine learning (ML), deep learning (DL), generative AI, and real-time video/image computer vision is highly valued.
Knowledge of multi-spectral sensors (RGB-NIR-Thermal), LiDAR, or SAR is desirable.
Background in robotics, autonomous systems, or perception is valued.
Experience with convolutional, residual, recurrent networks, and Vision Transformers is valued.
Research experience in AI and active use of code repositories (e.g., GitHub) is valued.
Experience
Solid experience in AI/computer vision, including:
- Object detection (YOLO, SSD, Faster R-CNN)
- Segmentation (Mask R-CNN, U-Net)
- Multi-object tracking (Deep SORT, ByteTrack, OC-SORT)
- Detection association over time, motion estimation, and re-identification (ReID)
Experience with video streaming vision models (not just static images), using protocols (RTSP, RTP) and libraries (OpenCV, GStreamer, FFmpeg); designing near real-time/low-latency systems; preparing, labeling, and managing video datasets.
Experience optimizing models for production (TensorRT, ONNX); inference on edge devices (NVIDIA Jetson is highly valued); quantization, pruning; GPU management.
Experience integrating AI systems with drones or robots.
Data analysis: Experience or knowledge in ML/DL algorithms using TensorFlow, PyTorch, and Scikit-learn.
Programming: Proficiency in Python and C/C++.
Bonus Points (We’d Love to Know!)
Knowledge of artificial neural networks (ANNs), Anaconda, and Docker.
GIS, remote sensing, and geospatial analysis skills: QGIS, GDAL, ArcGIS, Rasterio.
Proactive effort and initiative are highly valued.
We’ve Thought of You—Here’s What We Offer
We want this professional experience to contribute to your well-being and growth:
Remote work & flexible hours: A work model that supports work-life balance and allows autonomous, responsible scheduling.
Intensive summer schedule: To support personal time and professional-life balance.
Career development opportunities: Join cutting-edge tech projects in a learning-driven environment.
Tailored training plan: Access to specialized training to continuously develop technical skills.
Growth in an innovative company: Work in a dynamic environment where technology and talent evolve together.
At COTESA, we are committed to fair, objective talent evaluation based solely on skills, experience, and potential to contribute to our success. We reject all forms of discrimination and actively promote diversity, ensuring equal treatment and opportunities for all employees, and eliminating discrimination in the workplace.