Állás részletei
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Cég neve
High Tech Engineering Center Kft.
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Munkavégzés helye
Budapest -
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
- Angol középfok
- 1-3 év tapasztalat
- Főiskola
Kis türelmet...
Állás elmentve
A hirdetést eltávolítottuk a mentett állásai közül.
Állás leírása
Responsibilities
Building and maintaining simulation environments for mobile robotic perception and navigation
Developing and integrating robotic behaviours and learning pipelines for reinforcement learning and motion planning in complex outdoor environments
Collaborating with cross-functional teams to validate robotic algorithms in simulated environments
Optimizing simulation performance for large-scale training and testing, including cloud-based deployments
Developing and integrating robotic behaviours and learning pipelines for reinforcement learning and motion planning in complex outdoor environments
Collaborating with cross-functional teams to validate robotic algorithms in simulated environments
Optimizing 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 including 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 using IsaacSim, Gazebo, MuJoCo, CoppeliaSim or Unity
Experience in creating simulated sensors in digital twins including 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 including 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 using IsaacSim, Gazebo, MuJoCo, CoppeliaSim or Unity
Experience in creating simulated sensors in digital twins including 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 including Universal Robots, KUKA, Denso or others, or humanoid robots, Background in reinforcement learning or machine learning for computer vision robotics including tasks such as visual odometry, feature extraction, loop closures, and segmentation with example libraries Pytorch, TensorFlow, Keras, Experience with CI/CD pipelines and simulation automation, Familiarity with cloud platforms such as AWS or 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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