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The AI Architect will define and drive end‑to‑end AI system architecture for embedded and edge platforms, with deep expertise in GPU/NPU micro‑architecture, AI software stacks, and model behavior. This role bridges silicon capabilities, system software, and AI models, enabling performant, power‑efficient, and safe AI deployments across robotics, automotive, and industrial markets.
Job Responsibility:
Develop deep architectural understanding of GPU, NPU, and heterogeneous SoC designs
Guide HW–SW co‑optimization strategies for AI workloads
Influence silicon and platform roadmaps using model‑driven architectural insights
Collaborate across silicon, system engineering, software, thermal/mechanical, security, and product teams
Technically lead internal AI engineers and work closely with partners, ISVs, and customers
Act as a technical authority and mentor
Architect AI solutions with strong understanding of model internals
Evaluate and map model characteristics onto GPU/NPU execution
Drive model optimization strategies
Define and optimize AI software stacks
Lead solutioning for edge and embedded deployment
Ensure scalability from prototype → production → long‑term maintenance
Translate domain use‑cases into architectural requirements and reusable platform capabilities
Requirements:
Deep expertise in GPU and/or NPU architecture and execution models
Strong hands-on experience with AI models and inference pipelines
Proven background in embedded / edge AI systems
Strong understanding of hardware-aware model optimization techniques
Experience in robotics, automotive, or industrial AI domains
Ability to translate customer problems into scalable architectural solutions
Motivating leader with good interpersonal skills
cross-functional & external leadership
Bachelor’s or Master's degree in Computer Science, Computer Engineering, Electrical Engineering, or equivalent