Principal/Senior Robotics AI Architect

What you'll do

• Define architecture for hierarchical AI control loops including perception, world modeling, and task planning.
• Establish timing models and system-level constraints to ensure deterministic execution and bounded latency.
• Optimize compute utilization and minimize data movement across heterogeneous CPU, GPU, and accelerator systems.
• Lead architectural design reviews and performance tuning for strategic lighthouse customers.
• Translate real-world deployment constraints into platform requirements and SDK feature directions.
• Define reference architectures for complex robotic systems like humanoids and high-DoF manipulators.
• Shape the roadmap for Physical AI SDKs, runtimes, and robotics middleware integrations.
• Create scalable architectural patterns, reusable operator graphs, and standardized deployment topologies.

What we're looking for

• Bachelor’s or Master’s in Electrical Engineering, Computer Engineering, Computer Science, or a closely related field.
• Experience in Robotics, Autonomous systems AI architecture, RL work, Sim-to-real, and cloud-to-sim (preferred).
• Proven technical leadership experience influencing external and internal stakeholders (preferred).
• Deep understanding of AI inference runtimes, CPU/GPU/NPU scheduling, system-level performance, and real-time safety considerations (preferred).
• Proficiency with software frameworks such as ROS2, OpenCV, gstreamer, and vLLM (preferred).
• Ability to engage with customer engineering leaders and transform deployments into platform roadmap feedback (preferred).
• Ability to guide engineers, debug problems, and create innovative PoCs while abstracting details for executive presentations (preferred).
• Familiarity with AMD GPU and NPU AI SW stacks and tools (preferred).