Physical AI Solutions Architect

Job Details: Job Description: 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 Po.

Cs, 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 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% Job Type: Regular Shift: Shift 1 (China) Primary Location: Shanghai, China Additional Locations: Posting Statement: All qualified applicants will receive consideration for employment without regard to race, color, religion, religious creed, sex, national origin, ancestry, age, physical or mental disability, medical condition, genetic information, military and veteran status, marital status, pregnancy, gender, gender expression, gender identity, sexual orientation, or any other characteristic protected by local law, regulation, or ordinance.