Ing Oboril
Senior Engineer Automation & Safety
Karlsruhe, Baden-Württemberg, Germany
Summary
🤩
Rockstar🎓
Top SchoolIng Oboril is a Senior Engineer in Automation & Safety with nine years of experience building safe, risk-aware systems for robotics and automated driving. He combines deep research pedigree (PhD from KIT) with hands-on engineering at Intel Labs, where he led projects on safety-certifiable 3D perception, RSS-based vehicle safety, and CARLA scenario tooling. His open-source work includes improving CI/CD, documentation and Python bindings for the popular ad-rss-lib and core contributions to CARLA’s ScenarioRunner and ROS bridge, showing strength across simulation, backend logic, and DevOps. He has a track record of turning research into production-ready tooling—automating builds, integrating coverage, and adapting complex simulators for validation of safety concepts. Based in Karlsruhe, he also brings experience leading multi-partner projects and mentoring students, bridging academia and industry. A less obvious strength is his ability to improve developer experience (docs, pipelines, bindings) as a lever to accelerate safety-critical software delivery.
9 years of coding experience
12 years of employment as a software developer
Diploma Technomathematics, Diploma Technomathematics at Karlsruhe Institut für Technologie (KIT) / Universität Karlsruhe (TH)Dr.-Ing. (PhD Doctor of Engineering), Dr.-Ing. (PhD Doctor of Engineering) at Karlsruhe Institut für Technologie (KIT)
English, French, German
Github Skills (29)
simulation10
github-ci10
c-language10
python10
simulator10
simulations10
cmake10
cicd10
automation10
build-automation10
code-coverage10
openscenario10
automations10
cprogramming-language10
githubaction-workflow10
Programming languages (6)
Github contributions (5)
carla-simulator/scenario_runner
Nov 2018 - Nov 2021
Traffic scenario definition and execution engine
Role in this project:
Back-end Developer
Back-end DeveloperContributions:10 releases, 98 reviews, 352 commits in 3 years
Contributions summary:Ing made significant contributions to the `scenario_runner` project, primarily focused on building the core functionality for traffic scenario execution and evaluation within the CARLA simulator. Their commits introduced the `ScenarioManager`, implemented scenario behavior handling using `py_trees`, and provided mechanisms for result writing. They also addressed dependencies by integrating time management through CARLA game time and adding support for controller actions. These contributions directly relate to the core functionality of the project, involving substantial back-end logic for defining, running, and assessing simulation scenarios.
traffic-scenarioscenarioexecution-enginecarlaopenscenario
intel/ad-rss-lib
Feb 2019 - Nov 2020
Library implementing the Responsibility Sensitive Safety model (RSS) for Autonomous Vehicles
Role in this project:DevOps Engineer & Technical Writer
DevOps Engineer & Technical WriterContributions:11 releases, 59 reviews, 51 commits in 1 year 9 months
Contributions summary:Ing primarily focused on improving the project's build, documentation, and deployment processes. They automated documentation generation and deployment using mkdocs, migrated the CI/CD pipeline from Travis CI to GitHub Actions, and added code coverage tools. Furthermore, the user updated the documentation and added support for Python bindings. These contributions streamlined development and improved project maintainability.
rssautonomousresponsibilitysensitivevehicles
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