Physical AI Solutions Architect

Job Details:
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
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 (United Kingdom)
Primary Location:Marlow, Buckinghamshire, United Kingdom
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.