Senior Software Engineer - Point Cloud Processing
44.moles GmbHJob Overview
Join the dynamic Data Science team at 44.moles GmbH, where we are dedicated to developing innovative software solutions for estimating carbon stored in forests using advanced point cloud data from terrestrial laser scanners. As a Senior Software Engineer specializing in point cloud processing, you will play a crucial role in our mission to support sustainable forestry and climate mitigation.
Responsibilities
- Collaborate with the data science team to understand the requirements and objectives for point cloud data processing projects.
- Design, develop, and maintain efficient and scalable software for processing and analyzing point cloud data using Python and C++.
- Implement algorithms for point cloud registration, segmentation, feature extraction, and classification.
- Contribute to, improve, and maintain the processing pipeline codebase, focusing on parallelization, testing, code quality, and optimization.
- Integrate point cloud processing solutions with the overall IT infrastructure, including web-based applications and scan upload systems.
- Initiate, monitor, and maintain data processing jobs, ensuring they run smoothly and efficiently.
- Optimize existing code for performance and scalability.
- Conduct code reviews and ensure adherence to best practices in software development.
- Troubleshoot and resolve issues related to point cloud data processing.
- Document software designs, code, and processes.
Qualifications
- Bachelor’s or Master’s degree in Computer Science, Software Engineering, or a related field.
- Demonstrated experience in software development using Python and C++.
- Proven track record in developing software for point cloud processing.
- Familiarity with libraries such as PCL (Point Cloud Library) and Open3D.
- Strong understanding of parallel processing and performance optimization techniques.
- Comprehensive understanding of 3D geometry and point cloud data structures.
- Experience with point cloud processing algorithms such as registration, segmentation, and feature extraction.
- Proficiency with version control systems.
Preferred Skills
- Experience working with large-scale 3D datasets.
- Knowledge of machine learning algorithms and their application to point cloud data is an advantage.
- Knowledge of forestry and/or remote sensing is a plus.
- Strong collaboration skills.
- Good time management skills.
If you are a detail-oriented professional with an interest in green-tech, sustainable forestry, and climate mitigation, we invite you to apply.
Benefits Extracted with AI
- Collaborative team environment
- Opportunity to work on sustainable projects
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