Computer Vision Engineer, SLAM/Photogrammetry

Innovate Reality Capture: Computer Vision Engineer (3D reconstruction)

You will develop the next generation of digital construction technology by designing high-accuracy reality capture algorithms that bridge the digital and physical worlds.

Key Responsibilities

• Design and develop advanced 3D reconstruction algorithms using Python and C++ to power reality capture technology.
• Establish validation strategies to ensure algorithm robustness and accuracy across diverse real-world application domains.
• Collaborate with application engineers to integrate computer vision solutions into cloud, mobile, and desktop platforms.
• Contribute to architectural decisions and technical design to maintain a high standard of code quality and system performance.

Essential Skills & Experience

• Advanced Academic Background: Masters or PhD in Computer Science with a specialized focus on 3D reconstruction from images.
• Industry Experience: 6+ years developing computer vision algorithms for high-accuracy applications.
• Technical Proficiency: Strong programming skills in C++ and Python, combined with experience in software version control (Git).
• Bonus Points for: Experience with geospatial datatypes including coordinate systems, raster, vector, and point clouds.
• Background in LIDAR or mesh processing and exposure to machine learning pipelines.

Location

Stuttgart, Germany (The Stuttgart Office is centrally located, close to the Stuttgart Feuersee S-Bahn stop. You will work with your manager to establish a mutually agreeable schedule for your time working in the office based on the position and the business need. Typically in-office positions allow 1 remote day per week, with the remainder of the days worked from a Trimble office.

How to Apply

Please submit an online application for this position by clicking on the ‘Apply Now’ button located in this posting.