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Robot Simulation & Synthetic Data Generation Working Student / Intern(m/w/x)

Energy Robotics
Darmstadt

You collaborate with engineers to develop and enhance simulation environments for mobile robots, focusing on data generation and documentation to improve AI model training and the quality of simulations.

Anforderungen

  • •Currently enrolled in a Bachelor's or Master's degree
  • •Experience with robotics simulation environments
  • •Experience with ROS/ROS2
  • •Experience in Python programming
  • •Knowledge of ML/AI in robotics
  • •Good grasp of data concepts
  • •Working knowledge of machine learning principles
  • •Strong verbal and written communication skills in English

Deine Aufgaben

  • •Collaborate with engineers to integrate NVIDIA Isaac Sim.
  • •Generate synthetic multimodal training data for AI models.
  • •Create realistic simulation environments using digital twin data.
  • •Assist in designing simulation scenarios for robotics use cases.
  • •Contribute to creation and validation of synthetic datasets.
  • •Help extend documentation on simulation best practices.
  • •Participate in team meetings to enhance simulation realism.
  • •Document workflows, results, and findings clearly.

Deine Vorteile

Annual education budget
Learning from robotics experts
Knowledge-sharing sessions
Flexible remote work options
Support for standing desk
International team environment
1:1 sessions with psychologists
Team events and adventures
Weekly sponsored team lunches
Support for transport costs
Extra pension scheme contribution
Kindergarten cost allowance
Additional benefits and discounts

Original Beschreibung

## Robot Simulation & Synthetic Data Generation Working Student / Intern (m/f/d) ###### Intern / Student, Full or part-time ·Remote or/and Darmstadt --- ##### YOUR TASKS * Collaborate with robotics and AI engineers to integrate NVIDIA Isaac Sim as a simulation environment for a heterogenous fleet of mobile robots. * Generate synthetic multimodal training data for SOTA AI models in the field of robotics using NVIDIA Isaac Sim. * Create realistic simulation environments for robots based on real sites using digital twin data and data collected by our robots in the field. * Assist in designing and refining simulation scenarios that replicate real-world robotics use cases. * Contribute to the creation, validation, and organization of synthetic datasets tailored for machine learning and computer vision tasks. * Help extend internal documentation and contribute to team knowledge sharing on simulation best practices and reproducible synthetic data generation pipelines. * Participate in interdisciplinary team meetings and research sessions to enhance simulation realism and data quality. * Document your workflows, results, and findings in a clear and accessible manner. ##### YOUR PROFILE * Currently enrolled in a Bachelor’s or Master’s degree program in Robotics, Computer Science, Data Science, Engineering, or a related technical field. * Experience with robotics simulation or synthetic data generation environments such as NVIDIA Isaac Sim, Gazebo, Carla, Unity or Blender. * Experience with ROS/ROS2. * Experience in Python programming and familiarity with scientific computing libraries (NumPy, Pandas, etc.). * Experience with or existing knowledge of ML/AI in robotics and computer vision. * Good grasp of data concepts: dataset generation, cleaning, and annotation. * Working knowledge of machine learning and computer vision principles. * Strong verbal and written communication skills in English. ##### HELPFUL ADDITIONAL QUALIFICATIONS **Nice to have:** * Experience with C/C++ programming, preferably in performance-critical applications. * Experience with 3D modelling/CAD programs such as Blender, Fusion 360, FreeCAD and OpenSCAD. * Experience with state-of-the-art generative models for 2D/3D data. * Experience with annotating or converting datasets for standard ML formats (COCO, KITTI, etc.). * Exposure to or interest in LiDAR sensor simulation and 3D perception. * Experience with image-based 3D reconstruction approaches such as SfM, Gaussian Splatting, NeRFs. * Experience with Docker. * Previous contributions to open-source simulation or robotics projects. #### YOUR BENEFITS AT ENERGY ROBOTICS\* **Growth & Development** * Annual education budget * Learn from world-leading robotics experts * Knowledge-sharing sessions & workshops **Flexibility & Time Off** * Flexible remote work and workation possibilities * Support for a standing desk for your home office **Wellbeing & Community** * Be part of an international team with over 20 nationalities * 1:1 sessions with certified psychologists and mental health workshops * Team events: hackathons, outdoor adventures & more * Weekly sponsored team lunches **Financial Perks** * Support for public transport costs * Extra employer contribution to company pension scheme * Allowance for kindergarten costs possible * ...and more benefits & discounts \*The specific offer may vary depending on employment type
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