Position: Lidar, Camera, 3D-Machine Learning
Company: The Digital Real Estate Group
Experience required: 2y
Category: C++
English level: intermediate
Published: 2022-07-01T00:00:00+03:00

What you’ll be doing:

Design, implement and deploy novel algorithms (re)building realistic large-scale 3D virtual environments using vision and LIDAR data, where the generated 3D environment can be used for autonomous driving simulation.
Develop processes and tools that can use sensor data (lidar+camera) to generate large-scale 3D virtual environments for a simulation platform.
Design, implement and maintain software tools for simulation.
Collaborate with teams and stakeholders in offices around the world.
Use and develop state-of-the-art tools and methods to automate the 3D assets generation pipeline, making it possible to scale the process of generating 3D environments for new locations.
Masters or PhD in Machine Learning, Computer Science, Applied Mathematics, Statistics, Physics or a related field.
Experience with photogrammetry and/or point cloud meshing technologies.
Experience designing, training, and analyzing neural networks for at least one of the following applications: Object detection/classification, Image segmentation, Sensor fusion, Tracking, Multitask learning, Network compression, Reinforcement learning, Unsupervised learning.
Fluency in Python or C++.
Experience with PyTorch (preferred), TensorFlow, or other deep learning frameworks.
Experience with (1) LiDAR point cloud data & software development or (2) camera image data & software development.
Experience with 3D objects data formats and object creation pipelines.
Experience with Linux work environment, software, and toolchains.
Excellent analytical, communication, and writing skills.
Experience developing software as part of a team.Bonus Points (not required):
Database file manipulation using C++ / Python
Docker
Unity
Professional experience in software development for robotics systems (mapping, localization) or complex system simulations
Geographical Information Systems (GIS) tools and standards
Familiarity with CUDA, Git, CMake, continuous integration tools and the agile development process