Algorithm Engineer - Sensor Data Processing

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greeHill Europe Kft.
Munkavégzés helye

Budapest

Munkaidő, foglalkoztatás jellege
- Alkalmazotti jogviszony
- Általános munkarend
Elvárt technológiák
- PYTHON PANDAS MACHINE LEARNING
Elvárások
- Angol középfok
- Nem kell tapasztalat
- Főiskola

Állás elmentve

A hirdetést eltávolítottuk a mentett állásai közül.

Responsibilities

Algorithm design and implementation for processing and analyzing sensor data from LiDAR, images, and satellite imagery
Algorithm creation for transforming sensor data into actionable insights such as 3D model reconstruction, spatial data segmentation, and environmental feature detection
Development of preprocessing techniques for raw sensor data including noise filtering, sampling, and quantization
Algorithm optimization for performance and scalability to handle large datasets
Integration of data from multiple sensor types to enhance digital representation accuracy and detail
Contribution to continuous improvement of data processing tools, methods, and pipelines
Staying informed about advancements in sensor data processing, computer vision, and geospatial analysis

Requirements

Bachelor’s or Master’s degree in Computer Science, Electrical Engineering, Robotics, or related field
Strong proficiency in Python with experience using numpy, pandas, open3d, and opencv libraries
Solid foundation in algorithms and data structures focused on solving complex real-world problems
Practical knowledge of processing sensor data such as LiDAR point clouds and image data
Familiarity with computer vision techniques including feature detection, segmentation, and 3D reconstruction
Strong problem-solving skills, attention to detail, and creative technical challenge approach
Ability to collaborate effectively with multidisciplinary teams including engineers and machine learning specialists
Excellent communication skills for conveying technical concepts clearly

Nice-to-have

Experience with geospatial data processing and tools such as GDAL and rasterio
Knowledge of mapping techniques like structure from motion or SLAM for spatial data analysis
Familiarity with clustering methods such as HDBSCAN and DBSCAN for sensor data segmentation and analysis
Understanding of data structures like graphs and trees for representing complex spatial information
Exposure to machine learning tools like sklearn and pytorch
Experience optimizing algorithms for computational efficiency and scalability

Workplace extras

Shower
Corporate events
Bicycle storage
Sports facilities
Dog friendly

Company info

greehill is a global leader in nature-based smart-city solutions, driven by a passion for sustainability and innovation. We harness advanced technologies like remote sensing and machine learning to transform urban green spaces. Our cloud-based platform empowers cities to improve citizen well-being while reducing operational costs, using data from LiDAR scanners and camera systems to create digital twins of urban trees. With offices in Budapest, Hannover, Singapore, San Francisco, and Paris, we’re driving sustainability on an international scale.