About the role

NVIDIA Omniverse Isaac Sim Developer creating simulation workflows in a global remote setting for robotics and autonomous systems. Focusing on building robust simulation pipelines and ensuring realistic sensor outputs.

Responsibilities

Develop and scale simulation workflows for robotics and sensor-based autonomy systems.
Build high-quality simulation scenes and pipelines in Isaac Sim 5.x, integrating ROS 2 communication layers and automating synthetic dataset generation.
Work extensively with RTX sensors including LiDAR, radar, and cameras, ensuring realistic configurations and validated outputs.
Emphasize production-ready code, robust debugging practices, and the creation of reusable components that can be extended across multiple scenarios and environments.
Deliver working pipelines that operate reliably in both interactive GUI and headless modes, with correct sensor configurations and reproducible dataset-generation capabilities.

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.