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.