Germán Ros
Director Simulation Ecosystem Dev.
California, United States
Summary
🤩
Rockstar🎓
Top SchoolGermán Ros is a technology leader and simulation specialist who directs Simulation Ecosystem Development at NVIDIA and serves as Executive Director of the CARLA organization within the Embodied AI Foundation. He builds large-scale open-source simulation platforms—most notably CARLA—and bridges research and engineering to accelerate safe autonomous systems development and validation. His background spans deep learning at scale, 3D computer vision, visual SLAM, generative methods, and numerical optimization, grounded in a PhD in computer vision and AI. At Intel Labs and Toyota Research Institute he led teams and programs that translated advanced scene understanding and planning research into production-grade tools. He routinely contributes to core simulator components and scenario/testing frameworks, demonstrating a rare blend of low-level C++/Python systems work and higher-level ML research. Based in California, he combines academic rigor with hands-on open-source stewardship to push simulation-driven autonomy forward.
7 years of coding experience
12 years of employment as a software developer
PhD in Computer Science (Computer Vision and Artificial Intelligence) Computer Science, PhD in Computer Science (Computer Vision and Artificial Intelligence) Computer Science at Universitat Autònoma de BarcelonaMaster of Science (MSc) Computer Vision and Image Analysis Computer Science, Master of Science (MSc) Computer Vision and Image Analysis Computer Science at Kingston UniversityIngeniería Informática Computer Science, Ingeniería Informática Computer Science at Universidad de Murcia
Spanish, English
Stackoverflow
1reputation
355reached
0answers
1question
Github Skills (26)
python10
simulator10
data-set10
testing10
test-framework10
bash10
data-management10
datasets10
data-preprocessing10
openscenario10
autonomous-driving10
c-language9
navigation-drawer9
navigationbar9
3d-object-detection9
Programming languages (9)
Github contributions (5)
carla-simulator/scenario_runner
Nov 2018 - Apr 2020
Traffic scenario definition and execution engine
Role in this project:
Back-end Developer & Test Automation Engineer
Back-end Developer & Test Automation EngineerContributions:326 commits, 255 PRs, 352 pushes in 1 year 4 months
Contributions summary:Germán focused on updating the folder structure and modifying existing Python files, specifically those related to traffic scenario definition and execution. They also updated the configuration files for the scenarios. Furthermore, the user introduced new scenario criteria and updated the human agent, demonstrating an understanding of testing methodologies. They appear to be involved in creating and refining the testing framework for the CARLA simulator scenarios.
traffic-scenarioscenarioexecution-enginecarlaopenscenario
isl-org/Open3D-ML
Jul 2020 - May 2021
An extension of Open3D to address 3D Machine Learning tasks
Role in this project:Back-end Developer & DevOps Engineer
Back-end Developer & DevOps EngineerContributions:3 releases, 15 reviews, 26 commits in 11 months
Contributions summary:Germán primarily focused on modifying and enhancing the data download and pre-processing scripts for various 3D datasets within the repository. These changes involved adapting download scripts to handle different dataset formats and tools, including unzip and 7z. Additionally, the user updated the project's example visualization code and incorporated fixes related to the integration and downloading of specific dataset components. These changes suggest contributions in the area of data handling and pipeline maintenance.
pytorch3d-perceptionsemantic-segmentationdeep-learningaddress
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