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Computer Vision Engineer, SLAM/Photogrammetry(m/w/x)
Developing advanced 3D reconstruction algorithms for reality capture systems in next-gen transportation platforms. Masters or PhD in Computer Science with 3D reconstruction specialization and 6+ years computer vision algorithm development required. Application accommodation assistance provided.
Requirements
- Masters or PhD in Computer Science
- Specialization in 3D reconstruction from images
- 6+ years developing computer vision algorithms
- Strong programming skills in C++
- Strong programming skills in Python
- Experience in software version control (Git)
- Experience with geospatial datatypes (Advantageous)
- Background in LIDAR or mesh processing (Advantageous)
- Exposure to machine learning pipelines (Advantageous)
Tasks
- Design and develop advanced 3D reconstruction algorithms
- Program reality capture technology using Python and C++
- Establish validation strategies for algorithm robustness and accuracy
- Integrate computer vision solutions into various platforms
- Collaborate with application engineers on cross-platform integration
- Contribute to architectural decisions and technical design
- Maintain high standards for code quality and performance
Work Experience
- 6 years
Education
- Master's degree
Languages
- English – Business Fluent
Tools & Technologies
- C++
- Python
- Git
- LIDAR
Benefits
Other Benefits
- Application accommodation assistance
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Computer Vision Engineer, SLAM/Photogrammetry(m/w/x)
Developing advanced 3D reconstruction algorithms for reality capture systems in next-gen transportation platforms. Masters or PhD in Computer Science with 3D reconstruction specialization and 6+ years computer vision algorithm development required. Application accommodation assistance provided.
Requirements
- Masters or PhD in Computer Science
- Specialization in 3D reconstruction from images
- 6+ years developing computer vision algorithms
- Strong programming skills in C++
- Strong programming skills in Python
- Experience in software version control (Git)
- Experience with geospatial datatypes (Advantageous)
- Background in LIDAR or mesh processing (Advantageous)
- Exposure to machine learning pipelines (Advantageous)
Tasks
- Design and develop advanced 3D reconstruction algorithms
- Program reality capture technology using Python and C++
- Establish validation strategies for algorithm robustness and accuracy
- Integrate computer vision solutions into various platforms
- Collaborate with application engineers on cross-platform integration
- Contribute to architectural decisions and technical design
- Maintain high standards for code quality and performance
Work Experience
- 6 years
Education
- Master's degree
Languages
- English – Business Fluent
Tools & Technologies
- C++
- Python
- Git
- LIDAR
Benefits
Other Benefits
- Application accommodation assistance
About the Company
Trimble
Industry
Construction
Description
The company builds innovative products that change the way the world works, focusing on next-generation platform services for transportation.
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