Location
Warren, MI
Salary
Not specified
Type
fulltime
Posted
Today
via linkedin
Job Description
Key Responsibilities
- 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 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
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