Robotics Engineer

• Build and customize simulation scenes in Isaac Sim that accurately reflect real-world robotic tasks and factory layouts
• Develop synthetic data generation pipelines, including randomized object placement, sensor simulation, and multi-modal annotations (RGB, depth, segmentation, point clouds)
• Implement and maintain data processing workflows, ensuring data quality, traceability, and compatibility with ML training pipelines
• Optimize simulation performance and realism, tuning physics parameters, asset fidelity, and rendering configurations for scalable experimentation
• Collaborate with robotics engineers and ML scientists to align simulation outputs with model requirements and support sim2real transfer
• Conduct hands-on testing and debugging, iterating on simulation setups and synthetic data strategies to improve model robustness
• Document workflows and contribute to best practices, enabling reproducibility and knowledge sharing across teams

Required Qualifications

• MSc or PhD in Robotics, Computer Graphics, Computer Vision, or related field
• 3+ years of hands-on experience in robotics simulation, synthetic data generation, or virtual environment development Proficiency with Isaac Sim, Omniverse, or similar simulation platforms
• Strong programming skills in Python and C++, with experience in simulation APIs and data annotation tools
• Familiarity with 3D vision, sensor modeling, and domain randomization techniques
• Experience integrating simulation outputs into ML pipelines for training and evaluation Preferred Qualifications
• Experience with robotics frameworks (e.g., ROS/ROS2, Move It, Nav2)
• Experience with robotics simulation platforms (e.g., Isaac Sim, Mo Jo Co , Gazebo) or Game engine (e.g., Unreal, Unity)
• Background in industrial automation, autonomous vehicles, or robotic manipulation
• Publications or contributions in simulation, synthetic data, or robotics venues (e.g. ICRA, RSS, CVPR)
• Familiarity with CI/CD pipelines and modern software development practices such as Bash, Github, Bazel, Docker