Sr Robotics Simulation Engineer

Saxon Global • Houston, TX

1d • Onsite

About The Position

We are seeking a Senior Robotic Simulation Engineer with deep, hands-on expertise in building high-fidelity simulation environments and synthetic data pipelines using NVIDIA Isaac Sim or similar. In this role, you will directly contribute to the development of scalable, realistic virtual worlds that power the training and validation of robotic foundation models for perception, planning, and manipulation. At GM's manufacturing technology development team, you'll work closely with robotics and AI teams within the Manufacturing Technology Development (MTD) team to create simulation scenes that replicate complex manufacturing environments, generate diverse synthetic datasets, and build robust data workflows that accelerate model development and deployment.

Requirements

• 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

Nice To Haves

• 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

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

What This Job Offers

• Job Type: Full-time
• Career Level: Senior