Physical AI Solutions Architect
Altera · Shanghai
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 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%