Isaac Sim Robotics Developer (Python/ROS2) - Full Remote Global

ABOUT THE OPPORTUNITY

Join an innovative team building cutting-edge simulation infrastructure for robotics and autonomous systems. This is a hands-on engineering role where you'll architect and develop production-grade simulation workflows using NVIDIA Isaac Sim, working at the intersection of robotics, sensor simulation, and synthetic data generation. You'll be responsible for creating robust, scalable pipelines that power the next generation of autonomous systems, working with state-of-the-art RTX sensor simulation technology and contributing to reusable frameworks used across multiple robotics scenarios. This position offers the opportunity to work with the latest simulation tools and make a direct impact on the development of autonomous technologies in a fully remote environment with a global team.

PROJECT & CONTEXT

You will develop and scale simulation workflows for robotics and sensor-based autonomy systems. The focus is on building high-quality simulation scenes and pipelines in Isaac Sim 5.x, integrating ROS 2 communication layers, and automating synthetic dataset generation. You'll work extensively with RTX sensors including LiDAR, radar, and cameras, ensuring realistic configurations and validated outputs. The role emphasizes production-ready code, robust debugging practices, and the creation of reusable components that can be extended across multiple scenarios and environments. You'll deliver working pipelines that operate reliably in both interactive GUI and headless modes, with correct sensor configurations and reproducible dataset-generation capabilities.

WHAT WE'RE LOOKING FOR (Required)

• Strong Python engineering skills including software architecture, debugging, packaging, CLI tool development, and logging implementation
• Hands-on NVIDIA Omniverse Isaac Sim experience, ideally with Isaac Sim 5.x, including development using SimulationApp in both interactive and headless modes
• ROS 2 practical experience with rclpy, TF (Transform) systems, RViz2 debugging, and sensor message types
• OmniGraph pipeline expertise including building and debugging sensor creation, rendering, ROS 2 publishing, and trigger/tick mechanisms
• RTX sensor configuration and validation experience with cameras, LiDAR, and radar, including realistic settings and output validation
• 3D mathematics proficiency covering coordinate frames, transforms, quaternions, and spatial relationships
• USD (Universal Scene Description) knowledge including prims, references/layers, xformOps, materials, sensor prim placement, and scene organization
• Linux proficiency with shell scripting, environment management, and runtime troubleshooting capabilities
• Performance optimization skills including render settings tuning, throughput optimization, headless execution, and GPU/CPU bottleneck identification
• Ability to deliver clean, well-documented, and reproducible code with comprehensive configuration files
• English language proficiency for documentation and team communication

NICE TO HAVE (Preferred)

• Replicator at scale including experience with annotators, writers, randomizers, and multi-sensor synchronized capture workflows
• Advanced RTX LiDAR and radar expertise covering scan patterns, noise models, and point cloud field handling (intensity, timestamping)
• Performance profiling experience in Omniverse/Kit with practical optimization strategies and bottleneck resolution
• Experience building reusable simulation frameworks designed for multiple scenarios and environments
• Robotics simulation best practices including sensor calibration, strategic sensor placement, and validation against ground truth data
• CI/CD or containerized workflows for Isaac Sim including Docker, headless pipelines, and automated regression testing
• Experience with synthetic dataset generation pipelines for machine learning training
• Knowledge of sensor fusion concepts and multi-modal data integration
• Previous work on autonomous vehicle or robotics projects requiring high-fidelity simulation