Senior Solutions Architect, Embedded Physical AI
Core
Serve as a technical anchor for NVIDIA's Physical AI ecosystem, bridging hardware bring-up, sensor integration, and deployment of next-generation robotics models to turn prototypes into production-grade systems.
Role type
Senior Solutions Architect (Embedded Physical AI)
Builds
Production-grade, AI-accelerated robotics systems for partners and customers
Domain
Robotics, Embedded Systems, Edge AI
Deliverable
production ML models
Required skills
Embedded systems development, NVIDIA Jetson, ROS 2, Sensor pipeline integration, AI model deployment and optimization, GPU profiling, Real-time Linux environments
Preferred skills
NVIDIA Robotics libraries (Isaac ROS, cuVSLAM), Simulation frameworks (Isaac Sim, Isaac Lab), VLM/VLA/World Model deployment, Camera and sensor software stacks (HSB, V4L2, GMSL), Agentic tooling
Technologies
Jetson, Holoscan, Isaac ROS, Isaac OS, GR00T, ROS 2, TensorRT, Isaac Sim, Isaac Lab, cuVSLAM, V4L2, GMSL
Responsibilities
Engage with customers to ensure smooth integration of production stacks; Deploy, profile, and optimize robotics foundation models on embedded computers; Translate customer requirements into practical NVIDIA-based architectures; Lead technical discussions, presentations, and hands-on workshops; Develop proof-of-concepts and reference implementations
Seniority
Senior, hands-on IC
