Lead the design of industrial-scale digital twins and sim-to-real robotics platforms using NVIDIA Omniverse and Isaac.
Drive spatial computing strategy, enabling high-fidelity simulation, autonomous system training, and seamless deployment to physical environments with minimal reality-gap.
Architect OpenUSD-based digital twins, design sim-to-real robotics pipelines, and optimize NVIDIA Omniverse and Isaac ecosystems.
Lead HPC infrastructure design, integrate real-time IoT telemetry, and ensure physics-accurate, GPU-accelerated simulation environments for enterprise-scale industrial automation.

8+ years of experience of deep infrastructure and software engineering
At least 2-3 years of experience with NVIDIA Omniverse Enterprise (Nucleus, Kit, Connectors)
OpenUSD (schema design, composition, variants)
NVIDIA Isaac Sim, Isaac Lab, OmniIsaacGymEnvs
Sim-to-Real (S2R), domain randomization, RL pipelines
RTX rendering, Omniverse USD APIs, Kit SDK
ROS/ROS2, NVIDIA Jetson AGX Orin
OVX/DGX infrastructure, multi-GPU training
Willingness to travel occasionally
Good command of English
Ideally, you’ll also have NVIDIA Deep Learning Institute (DLI) certifications
Omniverse extensions development and custom connectors
Synthetic Data Generation (SDG) pipelines
NVIDIA Metropolis / edge AI integration
Advanced ray tracing and real-time physics solvers
CUDA optimization and GPU performance tuning
Integration with Kafka, MQTT, OPC UA streams

Continuous learning : You’ll develop the mindset and skills to navigate whatever comes next.
Success as defined by you : We’ll provide the tools and flexibility, so you can make a meaningful impact, your way.
Transformative leadership : We’ll give you the insights, coaching and confidence to be the leader the world needs.
Diverse and inclusive culture: You’ll be embraced for who you are and empowered to use your voice to help others find theirs.

Digital Twin Solutions Architect

Key skills