The Solutions Architect at Physical AI will serve as a technical anchor for NVIDIA's Physical AI ecosystem, focusing on embedded systems expertise. This role involves bridging research and real-world application engineering in robotics, working closely with customers and various internal teams. The architect will ensure smooth integration of production stacks and optimize robotics foundation models on embedded computers. A passion for robotics and a hands-on approach are essential for making a meaningful impact in this position.

• BS in Electrical Engineering, Computer Engineering, Computer Science, Robotics, Mechanical Engineering, or a related field.
• 5+ years of hands-on experience in embedded systems, including developing on NVIDIA Jetson.
• Strong fluency in ROS 2 and experience in deploying robotics autonomy stacks.
• Previous work integrating sensor pipelines such as cameras, LiDAR, and IMU.
• Proven expertise in AI model deployment, optimization, and GPU profiling on edge hardware.

• Serve as the primary embedded systems expert for NVIDIA Physical AI partners.
• 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 with key partners.

• Employees at NVIDIA are often offered comprehensive, day-one benefits—including medical, dental, and vision coverage with HSA support, life and disability insurance, an Employee Assistance Program, and a 401(k) with auto-enrollment. Many roles also have generous time off and holidays, donation matching (up to $10,000), and a wide menu of extras like FSAs, commuter benefits, legal and identity-theft protection, pet insurance, and wellness discounts. Optional programs can include student-loan and home-purchase support, plus family care resources and expert medical services.