NVIDIA Architect

Key Responsibilities

Design and manage complex 3D environments using

USD

and

NVIDIA Omniverse

tools.

Collaborate with 3D artists, AI engineers, DevOps, and domain SMEs to design and deploy end-to-end AI+Sim solutions.

Convert and optimize CAD / BIM models (JT, IFC, Revit) into

USD-compliant real-time assets .

Implement

Level of Detail (LOD) , instancing, collision, and physics metadata to scale performance.

Organize modular, reusable

asset libraries

for rapid composition of synthetic environments.

Develop high-quality scenes using

USD Composer ,

Omniverse Create , or Blender-to-USD pipelines.

Author

realistic lighting ,

camera animation rigs , and

scene variants

for simulation and data capture.

Configure and manage

Omniverse Nucleus servers

to enable real-time USD collaboration, asset versioning, and access control.

Use

Omniverse Replicator

to build scalable synthetic data pipelines with domain randomization and multi-sensor simulation.

Simulate autonomous workflows with

Isaac Sim , integrating physics, LiDAR, RGB, and stereo camera emulation.

Train and fine-tune DL models using

NVIDIA TAO Toolkit

for tasks like detection, segmentation, and pose estimation.

Deploy AI models on

NVIDIA Jetson (Nano, Xavier, Orin)

using

DeepStream SDK ,

TensorRT , and

live camera feeds .

Develop, Deploy, Mange and Optimize Omniverse streaming application for multiuser remote visualization across enterprise network..

Build

custom Omniverse Kit Extensions

to enable in-simulation interactivity, data streaming, or real-time controls.

Integrate robotic and sensor data from

ROS2 , cloud APIs, or IoT systems.

Deploy simulation workloads using

Docker, Kubernetes, Helm , and

Terraform

on AWS, Azure, or on-prem GPU clusters.

Track AI experiments using

MLflow ,

ClearML , or

Weights & Biases .

Monitor GPU resource allocation, container communication, and simulation performance.

Leverage

NVIDIA CuOpt

for real-time, constraint-based path planning, scheduling, and factory optimization.

Implement rendering and performance tuning strategies such as

USDZ optimization ,

texture streaming , and GPU utilization balancing.

Required Qualifications

BS / MS in Computer Science, Engineering, Robotics, or Game Development.

6+ years of experience in 3D models and simulation, with AI / ML product development.

Familiarity with

Pixar's USD , USD Composer, simulation layering, and modular asset structuring.

Familiarity with

Blender, Maya, or 3ds Max , and exporting models into USD format.

Experience building

custom Omniverse Kit Extensions

or UI plugins.

Knowledge of

simulation-to-real

transfer, synthetic data generation and validation.

Experience with

Omniverse SDKs , Kit Extensions, and real-time scene interactivity via scripting or UI development.

Strong proficiency in :

Python, CUDA, TensorFlow / PyTorch

NVIDIA Omniverse ,

Isaac Sim ,

Omniverse Replicator

USD workflows , scene composition, and LOD

TAO Toolkit ,

DeepStream , and

Jetson

deployment

Docker, Kubernetes, CI / CD , and

cloud architecture

Direct experience managing and operating

Omniverse Nucleus

environments.

What You Will Do After Joining

Architect and deliver digital twin, robotics, and simulation-powered AI products across domains like smart factories, healthcare, and logistics.

Develop integrated pipelines from

synthetic data generation

to

inference deployment , enabling rapid experimentation and scale.

Influence next-gen architecture by collaborating with internal teams from HCL and NVIDIA across simulation, GPU compute, and cloud AI stacks.

Build reusable blueprints, contribute to enterprise-wide simulation standards, and mentor developers across the AI and digital twin ecosystem.

Conduct customer presentations, develop demos and solutions, collaborate with Business Analysts.

Collaborate with domain experts to translate customer requirements into composable solutions on the NVIDIA AI Platform.

Specialists will translate customer requirements into modular solutions on the NVIDIA AI Platform.

Ways to Stand Out

Ownership of full simulation + AI pipelines deployed across production systems.

Advanced skill in

real-time 3D pipelines

integrated with

Vision AI

and robotics.

Demonstrated ability to integrate

Omniverse, Jetson, and cloud-scale deployment

seamlessly.