Research Engineer (GPU, Game Engines, XR, AI) > Barco > Joboolo BE :
Société : Barco Lieu : Kortrijk Flanders Site source : Talent BE
We challenge ourselves to stay on top of state-of-the-art technology by building demonstrators and explore new use cases with internal and external stakeholders.
You will be working on following topics:
Visual digital twins:
from live animated and ‘personalized’ avatars to 3D volumetrically captured and synthesized people, objects & scenes.
Eg using NeRF, photorealistic rendering,..
.
Hybrid experiences:
merging virtual and live people, objects and scenes, XR, using scene graph engines,gameengines,..
.
Real-time viewpoint interpolation:
to synthesize many new virtual camera viewpoints starting from sparse set of real cameras.
Eg.
using generative AI,..
.
Distributed rendering:
of complex scenes, merging live sensor data and 3D models, ..
.
Computational Visualization:
signal generation for the next generations of 3D displays Your Profile A generalist with a master in computer science engineering (or equivalent) Previous?experience?(or minimally a keen interest)?with one or multiple of previous topics Hands-on experience with 3D game engines (Unreal / Unity ) Experience in C++ and or Python Experience with AI Minimum:
Prototyping and engineering experience in at least ONE relevant specialization area in either Computer Vision or Machine Learning:
2D/3D key point and surface reconstruction, sensor fusion and active depth sensing, photogrammetry, camera calibration, generative models such GANs, or photorealistic rendering, NERFs.
Developing and designing Computer Vision and/or Machine Learning technologies and systems for running real time on custom hardware.
Preferred:
2+ years of industry experience working on projects such as:
real-time SLAM and 3D reconstruction, sensor fusion and active depth sensing, object and body tracking and pose estimation, and/or image processing.
Image and/or semantic segmentation, 2D and 3D key point estimation and surface reconstruction, depth estimation, generative methods such as GANs, or photorealistic rendering, NERFs Background in machine learning with experience in large scale training and evaluation of deep convolutional and/or recurrent neural networks and/or GANs and/or NERFs.
Publication track record at conferences such as SIGGRAPH, CVPR, NIPS, ECCV, ICCV, ISMAR, ICML, etc.
Proven technical, analytical, and problem-solving skills in earlier projects Can disseminate in a clear and convincing way new technologies and their opportunities to peers A hands-on innovation and can-do mindset.
Work thoroughly and independently and with great perseverance towards a result that meets the requirements and constraints, that is evaluated and documented.
You are pro-active and you take initiative and show end-to-end problem ownership.
You are a loyal team player with good (English) communication skills and willing to travel on occasion.
What’s in it for you? Explore innovative technologies and fuel product developments in different businesses Work for a global technology top employer Enjoy continuous training opportunities at our very own Barco University Appreciate the comfort of our eye-catching headquarters Enjoy a competitive salary package Barco KortrijkFlanders
