Senior Solutions Architect, Embedded Physical AI

What you'll do

• Support customer integration of embedded platforms, real-time Linux, ROS 2, sensor pipelines, and edge AI models.
• Deploy, profile, and optimize robotics foundation models on embedded computers and advise on implementation tradeoffs.
• Translate customer needs into NVIDIA-based architectures, develop proofs of concept and reference implementations, and share field feedback with internal teams.

What they ask for

• BS in Electrical Engineering, Computer Engineering, Computer Science, Robotics, Mechanical Engineering, or a related field (or equivalent experience).
• 5+ years of hands-on embedded systems experience, including NVIDIA Jetson development, performance tuning, and system-level debugging.
• Strong fluency in ROS 2 and experience deploying robotics autonomy stacks and sim-to-real validation workflows.
• Experience integrating sensor pipelines and expertise in AI model deployment, optimization, and GPU profiling on edge hardware using SDKs like TensorRT.

Nice to have

• Experience with NVIDIA Robotics libraries and simulation frameworks, or deploying and optimizing VLMs, VLAs, or World Models on edge platforms.
• Experience with camera and sensor software stacks, real-time safety-aware embedded robotics, or agentic tooling.

Pay

152,000 USD - 241,500 USD base salary (Level 3); 184,000 USD - 287,500 USD base salary (Level 4)

Tools

Jetson, Holoscan, Isaac ROS, Isaac OS, GR00T, ROS 2, TensorRT, Isaac Sim

AI focus

Deploy, profile, and optimize robotics foundation models, including VLAs and World Models, on embedded computers and edge platforms.