Állás részletei
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Cég neve
High Tech Engineering Center Kft.
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Munkavégzés helye
Országos lefedettség -
Munkaidő, foglalkoztatás jellege
- Alkalmazotti jogviszony
- Általános munkarend
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Elvárt technológiák
- TESTING CLOUD PYTHON C++ DYNAMICS AWS AZURE MACHINE LEARNING
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Elvárások
- Nem kell nyelvtudás
- Nem kell tapasztalat
- Egyetem
Állás elmentve
A hirdetést eltávolítottuk a mentett állásai közül.
Állás leírása
Responsibilities
Build and maintain simulation environments for mobile robotic perception and navigation.
Develop and integrate robotic behaviours and learning pipelines for reinforcement learning and motion planning in complex outdoor environments.
Collaborate with cross-functional teams to validate robotic algorithms in simulated environments.
Optimize simulation performance for large-scale training and testing, including cloud-based deployments.
Develop and integrate robotic behaviours and learning pipelines for reinforcement learning and motion planning in complex outdoor environments.
Collaborate with cross-functional teams to validate robotic algorithms in simulated environments.
Optimize simulation performance for large-scale training and testing, including cloud-based deployments.
Requirements
Bachelor’s or master's degree in Robotics, Computer Science, Mechanical Engineering, or related fields.
Experience with the ROS2 framework.
Experience with ROS2 navigation stack [RTAB-MAP, NAV2, ROS Control, behaviour tree].
Proficiency in Python and C++.
Solid understanding of mobile robotic systems, including kinematics, dynamics, and control.
Experience in creating digital twins and simulation (IsaacSim, Gazebo, MuJoCo, CoppeliaSim or Unity).
Experience in creating simulated sensors in digital twins (GNSS/GPS, cameras, IMU, wheel odometry and others).
Familiarity with simulation-based testing and validation of robotic algorithms and bridging the gap between simulation and the real world.
Experience with the ROS2 framework.
Experience with ROS2 navigation stack [RTAB-MAP, NAV2, ROS Control, behaviour tree].
Proficiency in Python and C++.
Solid understanding of mobile robotic systems, including kinematics, dynamics, and control.
Experience in creating digital twins and simulation (IsaacSim, Gazebo, MuJoCo, CoppeliaSim or Unity).
Experience in creating simulated sensors in digital twins (GNSS/GPS, cameras, IMU, wheel odometry and others).
Familiarity with simulation-based testing and validation of robotic algorithms and bridging the gap between simulation and the real world.
Nice-to-have
Experience with OpenUSD (Universal Scene Description) and Omniverse extension development., Hands on experience with non-mobile robots such as industrial robots [Universal Robots / KUKA / Denso / others...] or humanoid robots., Background in reinforcement learning or machine learning for computer vision robotics (visual odometry, feature extraction, loop closures, segmentation)., Experience with CI/CD pipelines and simulation automation., Familiarity with cloud platforms (e.g., AWS, Azure) for distributed simulation.
How to apply
You can submit your application on the company's website, which you can access by clicking the „Apply on company page“ button.
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