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.