DreamVu AI · 1 day ago
Simulation Engineer
DreamVu AI is a company focused on providing training data infrastructure for humanoid robots. They are seeking a highly skilled Simulation Engineer to bridge 3D artistry with robotics engineering, transforming real-world 3D captures into production-ready simulation assets for humanoid robot training.
Responsibilities
Process 3D reconstructions from our 360° capture system and convert them into simulation-ready assets
Configure assets for multimodal AI training: semantic labeling, instance segmentation, 6DOF pose tracking, and manipulation affordances
Design and implement collision geometries, articulation systems, and physics properties (mass, friction, contact) for realistic humanoid-environment interaction
Optimize assets for real-time performance using LODs, proxy meshes, and efficient material workflows while maintaining photorealistic quality
Build and validate photorealistic simulation scenes that mirror our real-world capture environments
Ensure physics determinism and computational efficiency for large-scale synthetic data generation
Create modular, reusable scene components that preserve multimodal annotations across vision, language, and action data streams
Maintain consistency between physical capture spaces and their digital twin counterparts
Write Python scripts and OmniKit extensions to automate the 3D-to-simulation asset processing workflow
Develop tools for batch processing hundreds of captured environments into Isaac Sim-compatible scenes
Integrate with our annotation pipeline to ensure semantic labels, trajectories, and skill demonstrations transfer correctly
Document repeatable pipelines that enable rapid scaling across diverse humanoid training scenarios
Qualification
Required
NVIDIA Isaac Sim & Omniverse: Demonstrated expertise with the platform, toolset, and simulation workflow
USD (Universal Scene Description): Strong command of layering, variants, composition arcs, and USD best practices for complex scene assembly
Physics Simulation: Proven experience creating accurate colliders (convex decomposition, primitive fitting), configuring articulated joints, and tuning material properties for contact dynamics
Python Scripting: Ability to write production-quality scripts for Isaac Sim extensions, automated asset processing, and workflow integration
3D DCC Proficiency: Skilled in Blender, Maya, or 3ds Max for photogrammetry cleanup, UV optimization, and geometry preparation
Preferred
Experience with photogrammetry reconstruction tools (RealityCapture, Metashape, NeRF/Gaussian Splatting)
Background in robotics simulation, humanoid kinematics, or manipulation task environments
Understanding of synthetic data generation, domain randomization, and sim-to-real transfer concepts
Familiarity with physical AI training data formats (RLDS, HDF5) and multimodal annotation workflows
Experience with Unreal Engine or other real-time rendering pipelines
Knowledge of vision-language-action (VLA) model requirements and training data structures
Benefits
Competitive compensation and comprehensive benefits package
Company
DreamVu AI
Humanoid robots need vision, language, and action data from multiple perspectives.
Funding
Current Stage
Early StageTotal Funding
$0.25MKey Investors
Chiratae VenturesThe IIIT-H Foundation
2023-01-26Series A· $0.25M
2021-08-09Seed
2019-06-09Angel
Recent News
2025-02-11
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2024-11-12
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