Computer Vision Engineer, SLAM/Photogrammetry

Trimble; Stuttgart; Hybrid; EUR 65.000 - 85.000; Vollzeit

Zusammenfassung

A leading technology company in Stuttgart is seeking a Computer Vision Engineer to develop and optimize 3D reconstruction algorithms. You will play a crucial role in shaping reality capture technologies and enhance productivity in digital construction. The ideal candidate has a Masters or PhD in Computer Science, along with extensive experience in computer vision algorithms. This position allows flexibility with typically one remote day per week.

Leistungen

Opportunity to collaborate with innovative teams

Supportive team culture

Flexible working arrangements

Qualifikationen

• 6+ years developing computer vision algorithms for high-accuracy applications.
• Experience with geospatial datatypes including coordinate systems, raster, vector, and point clouds.
• Background in LIDAR or mesh processing and exposure to machine learning pipelines.

Aufgaben

• Design and develop advanced 3D reconstruction algorithms using Python and C++.
• Establish validation strategies to ensure algorithm robustness and accuracy.
• Collaborate with application engineers to integrate computer vision solutions.

Kenntnisse

Computer Vision

3D Reconstruction

Python

C++

Ausbildung

Masters or PhD in Computer Science

Tools

Git

Jobbeschreibung

Overview

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.

About Us

Trimble is an industrial technology company transforming the way the world works by delivering solutions that enable our customers to thrive. We create technologies that connect the digital and physical worlds, helping our customers increase productivity, quality, safety, and sustainability. From purpose-built products to enterprise-level solutions, our technology empowers professionals in construction, geospatial, government, transportation, and more.

Field Systems: The Trimble Field Systems segment provides digital construction solutions that increase precision and productivity for Architecture, Engineering, Construction, and Operations by empowering stakeholders to collect accurate information and manage conditions with cutting-edge technology.

What Makes This Role Great

In this role, you will lead the design, optimization and implementation of 3D Reconstruction from images (SLAM, structure-from-motion and digital surface modelling) algorithms, directly influencing the high-accuracy reality capture capabilities used in global digital construction and geospatial applications.

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.

Why Join Us

At Trimble, we\'re not just a company that "does good" - we are a team dedicated to making a tangible, positive Real-World Impact. We build innovative solutions designed to solve the world\'s most critical challenges. From construction sites to transportation hubs, our work tangibly improves how people live, build, move, and grow.

You\'ll work on projects that matter: Our purpose-driven culture means you\'ll be helping to build and deliver solutions that make work faster, safer, and more sustainable for millions of people worldwide. Our impact is tangible, from connected machines that save fuel to data-driven insights that reduce waste.

Collaborate with like-minded people: Our strong internal culture is a hidden gem. You will work with a collaborative, supportive team that shares your purpose and fosters a genuine sense of belonging. We\'re a company of visionaries who think boldly and build things that work.

Be an owner: Trimble thrives on individuals who take initiative and embrace ownership. You\'ll find an entrepreneurial spirit where success is often self-authored, empowering proactive doers.

Computer Vision Engineer, SLAM, Structure from Motion, SfM, C++, Python, Reality Capture, LiDAR, Geospatial, Digital Construction

How to Apply

Submit an online application for this position by clicking on the Apply Now button located in this posting.

Join a Values-Driven Team

Belong, Grow, Innovate. At Trimble, our core values of Belong, Grow, and Innovate aren\'t just words—they\'re the foundation of our culture. We foster an environment where you are seen, heard, and valued (Belong); where you have an opportunity to build a career and drive our collective growth (Grow); and where your innovative ideas shape the future (Innovate). We believe in empowering local teams to create impactful strategies, ensuring our global vision resonates with every individual. Become part of a team where your contributions truly matter.

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