A leading technology services provider in the United States is seeking an experienced robotics simulation engineer to build and optimize simulation scenes in Isaac Sim. The ideal candidate will develop synthetic data generation pipelines and collaborate with engineers to ensure simulation outputs meet model requirements. Candidates must have an MSc or PhD in a relevant field and 3+ years of experience. Key programming skills in Python and C++ are required, along with proficiency in simulation platforms like Isaac Sim.
Qualifications
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.
Familiarity with 3D vision, sensor modeling, and domain randomization techniques.
Responsibilities
Build and customize simulation scenes in Isaac Sim for robotic tasks.
Develop synthetic data generation pipelines with randomized object placement.
Optimize simulation performance and realism for scalable experimentation.
Skills
Robotics simulation experience
Synthetic data generation
Programming skills in Python
Programming skills in C++
3D vision knowledge
Education
MSc or PhD in Robotics, Computer Graphics, Computer Vision, or related field
Tools
Isaac Sim
Omniverse
ROS/ROS2
Docker
Job description
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, MoveIt, Nav2)
Experience with robotics simulation platforms (e.g., IsaacSim, MoJoCo, Gazebo) or game engines (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