Luxolis

Luxolis is revolutionizing industrial automation with its 3D vision robotics technology. The company provides robots with 3D vision capabilities, enabling precision, speed, and adaptability across various industrial applications. Their product suite includes Luxolis 3D Cameras and Luxolis 3D Industry 5.0 Robots, designed to enhance safety, accuracy, and operational efficiency. Luxolis empowers businesses with vision-driven technologies that integrate seamlessly into existing systems, offering support for manufacturing, logistics, and foodtech sectors. The company is focused on pushing the boundaries of robotics, 3D vision, and automation to create smarter and safer automated solutions.

3D VisionAIAutomationFoodtechIndustrialLogisticsManufacturingRoboticsluxolis.ai

Luxolis

3D VisionAIAutomationFoodtechIndustrialLogisticsManufacturingRoboticsluxolis.ai

HQDelaware, US

Team Size22

Open Jobs12

Total Funding$748K

Latest Fundraise3 years ago

Join the Team

Deep Learning SLAM Engineer

On-SiteSeoul, KR

On-Site • Seoul, KR

About the Role

We are seeking a highly skilled 3D Computer Vision Engineer with expertise in 3D reconstruction to join our R&D team. In this role, you will design, develop, and optimize algorithms and pipelines that transform images, videos, LiDAR, and depth sensor data into accurate 3D models. Your work will directly power our next-generation 3D scanning, AR/VR, and digital twin solutions.

Key Responsibilities

Teeming tracks opportunities at over 24,000 AI startups, then works with you to find (and land) the one you'll love.

Mobile Developer

Part-timeNiš, RS

Part-time • Niš, RS

AI Researcher

ContractBerlin, DE

Contract • Berlin, DE

Frontend Developer

ContractManchester, GB

Contract • Manchester, GB

Technical Writer

InternshipCambridge, GB

Internship • Cambridge, GB

Frontend Developer

Full-timeBerlin, DE

Full-time • Berlin, DE

Technical Writer

Part-timeAmsterdam, NL

Part-time • Amsterdam, NL

TL;DR

Company Overview

Funding Track Record

Founders

What we do

Luxolis

3D VisionAIAutomationFoodtechIndustrialLogisticsManufacturingRoboticsluxolis.ai

Luxolis

3D VisionAIAutomationFoodtechIndustrialLogisticsManufacturingRoboticsluxolis.ai

HQDelaware, US

Team Size22

Open Jobs12

Total Funding$748K

Latest Fundraise3 years ago

Join the Team

Deep Learning SLAM Engineer

On-SiteSeoul, KR

On-Site • Seoul, KR

About the Role

Key Responsibilities

Teeming tracks opportunities at over 24,000 AI startups, then works with you to find (and land) the one you'll love.

Mobile Developer

Part-timeNiš, RS

Part-time • Niš, RS

AI Researcher

ContractBerlin, DE

Contract • Berlin, DE

Frontend Developer

ContractManchester, GB

Contract • Manchester, GB

Technical Writer

InternshipCambridge, GB

Internship • Cambridge, GB

Frontend Developer

Full-timeBerlin, DE

Full-time • Berlin, DE

Technical Writer

Part-timeAmsterdam, NL

Part-time • Amsterdam, NL

Develop and implement 3D reconstruction pipelines from multi-view images, RGB-D, stereo, LiDAR, or photogrammetry data.

Research, adapt, and optimize algorithms for SLAM , SfM (Structure from Motion) , and MVS (Multi-View Stereo) .

Build robust camera calibration and sensor fusion methods for RGB, depth, and IMU data.

Integrate mesh generation , texturing , and surface reconstruction techniques into production-ready systems.

Collaborate with the AI, robotics, and 3D graphics teams to enhance reconstruction accuracy, speed, and scalability.

Benchmark and evaluate algorithm performance on large-scale datasets.

Stay updated on the latest advancements in computer vision, graphics, and 3D AI.

Bachelor’s or Master’s in Computer Vision, Computer Science, Electrical Engineering , or related field.
3+ years of hands-on experience in 3D reconstruction projects.
Strong proficiency in Python and C++ for high-performance computer vision.
Experience with OpenCV , Open3D , PCL (Point Cloud Library) , or similar.
Solid understanding of geometry, linear algebra, and optimization for 3D vision.
Familiarity with camera calibration and pose estimation methods.

PhD in a relevant field or equivalent research experience.
Experience with Neural Radiance Fields (NeRF) , Gaussian Splatting , or deep learning-based reconstruction .
Hands-on work with 3D graphics engines (Unity, Unreal) or WebGL.
Experience in GPU acceleration with CUDA or TensorRT .
Background in AR/VR, robotics, or autonomous systems .

Tools & Technologies

Programming: Python, C++, CUDA
Libraries/Frameworks: OpenCV, Open3D, PCL, PyTorch, TensorFlow, COLMAP, Meshroom
3D Data Formats: OBJ, PLY, GLTF, USDZ
Version Control: Git, GitHub/GitLab
Cloud & Deployment: AWS, Docker, CI/CD pipelines