Physical AI Solutions Architect

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* Job Description:

** We are seeking a Physical AI Solutions Architect to lead the design and delivery of next-generation robotics, drones, medical, industrial and quantum compute systems that combine AI, real-time control, and heterogeneous compute (CPU/GPU/FPGA).This role is responsible for defining end-to-end system architectures, driving customer engagements and PoCs, and translating advanced Physical AI concepts into production-ready solutions.

The ideal candidate bridges sense-think-act physical AI pipeline, and hardware acceleration, with a strong focus on low-latency, deterministic, and scalable systems deployed in real-world environments.  
** Key Responsibilities
*** End-to-End Physical AI System Architecture. Define full-stack architectures spanning sensors, perception, localization, planning, control and actuation. Design Sense–Think–Act pipelines with strict latency and determinism constraints. Evaluate hardware/software partitioning, especially CPU vs GPU vs FPGA mapping
* Customer Engagement & Solution Delivery:
Lead technical engagements with physical AI customers. Translate customer requirements into architecture proposals and solution roadmaps and deliver:  + Technical presentations and executive briefings  + System-level design recommendations  + Competitive positioning vs GPU/CPU alternatives
* Proof-of-Concept (PoC) & Prototyping:
Drive PoC development to validate architecture and performance, and work with engineering teams to build demos
* Physical AI Strategy & Market Development:  + Analyze physical AI market trends, customer needs, and competitive landscape  + Define physical AI solution stack (hardware + software + middleware)  + Reference architectures for key segments
* Contribute to white papers, technical blogs, and training materials### ##
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* Qualifications:

*** Must have BS/MS, PhD preferred in Robotics, Electrical Engineering, Computer Engineering, Computer Science, or related field.
* 10+ years' experience in physical AI including robotics, drones, AI systems, or solutions architecture
* Strong expertise in one or more domains:
Robotics systems and  AI/ML for robotics.
* Experience with:  + ROS / ROS2  + FPGA platforms (RTL, HLS) – Preferred, but not mandatory  + Real-time control systems and deterministic processing  + E2E robotics control loop architecture  + World modeling and point cloud generation  + Motion planning  + Physical AI SDK
* Familiarity with:  + Sensor fusion, localization, motion planning, control loops  + VLA and VLM models
** Travel Requirements**: 30%