Senior Solutions Architect, Embedded Physical AI

What you'll do

• Serve as the primary embedded systems expert for partners using Jetson, Holoscan, Isaac ROS, and Isaac OS.
• Ensure smooth integration of production stacks including real-time Linux, ROS 2, and sensor pipelines.
• Deploy, profile, and optimize robotics foundation models like VLAs and World Models on embedded computers.
• Translate customer requirements into practical NVIDIA-based architectures and provide technical guidance on hardware tradeoffs.
• Develop proof-of-concepts and reference implementations for AI-accelerated robotics systems.
• Lead technical discussions, presentations, and hands-on workshops with key partners.
• Feed field insights back to internal teams to influence product feedback and roadmap priorities.

What we're looking for

• BS in Electrical Engineering, Computer Engineering, Computer Science, Robotics, Mechanical Engineering, or a related field (or equivalent experience).
• 5+ years of hands-on experience in embedded systems, including developing on NVIDIA Jetson, performance tuning, and system-level debugging.
• Strong fluency in ROS 2 and background in deploying robotics autonomy stacks and sim-to-real validation workflows.
• Previous work integrating sensor pipelines such as cameras, LiDAR, and IMU.
• Proven expertise in AI model deployment, optimization, and GPU profiling on edge hardware using SDKs like TensorRT.
• Outstanding communication and collaboration skills to translate complex technical concepts for researchers, engineers, and business teams.
• Hands-on experience with NVIDIA Robotics libraries such as Isaac ROS and cuVSLAM, or simulation frameworks like Isaac Sim and Isaac Lab (preferred).
• Familiarity with deploying and optimizing VLMs, VLAs, or World Models on edge platforms using quantization, compression, and distillation (preferred).