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.