Key Responsibilities

* Environment Design: Build a physics-accurate virtual environment containing digital twins of agency-standard panels, switches, and tools.

* Asset Pipeline: Import and calibrate CAD assets for maintenance robots and station subsystems into the NVIDIA Isaac Sim pipeline.

* Synthetic Data Factory: Deploy a multi-GPU generation pipeline to produce over 1,000,000 labeled training frames using "Domain Randomization" (varying lighting, textures, and physics).

* Procedural Automation: Configure the workstation to run 24/7, utilizing procedural generation to randomly spawn tools and internal components for infinite task variations.

* Auto-Labeling: Implement pipelines for the automatic annotation of segmentation masks and depth maps to eliminate manual human labeling.

Required Skills & Qualifications

* Primary Tech Stack: NVIDIA Omniverse/Isaac Sim, MuJoCo, PyTorch, and 3D Asset pipelines.

* Technical Experience: Proficiency in generating photorealistic, ray-traced data and managing high-performance computing clusters.

* Hardware Knowledge: Ability to utilize high-end professional/consumer GPUs (Total VRAM > 90GB) and Enterprise Grade High-Core Count CPUs.