Jobbeschreibung:

Job Title: AI Systems ArchitectJob Description:HCL invites visionary professionals to join its NextGen Innovation Team to build advanced simulation, digital twin, and AI solutions powered by NVIDIA platforms like Omniverse, Isaac Sim, TAO Toolkit, and Jetson. You will design enterprise-grade AI pipelines, scalable 3D environments, and real-time systems across robotics, Vision AI, and smart factories.________________________________________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:o Python, CUDA, TensorFlow/PyTorcho NVIDIA Omniverse, Isaac Sim, Omniverse Replicatoro USD workflows, scene composition, and LODo TAO Toolkit, DeepStream, and Jetson deploymento 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,