AI System Architect (NPU / GPU / Interconnect)

Company: Qualcomm China Job Area: Engineering Group, Engineering Group > ASICS Engineering General Summary: We are seeking experienced architects with deep expertise in AI accelerators (NPU), GPUs, and/or high-performance system interconnects to define next-generation AI and data center compute platforms. Successful candidates will possess strong architectural knowledge in one or more of the following areas: • AI accelerator and NPU architecture • GPU architecture, graphics, and compute systems • High-performance system interconnects and data center fabrics Key Responsibilities Customer & Platform Architecture • Engage with customers, partners, and internal stakeholders to understand AI workload requirements, deployment scenarios, performance targets, and system constraints. • Translate customer and market requirements into scalable system architecture, technology roadmaps, and platform features. • Drive architecture tradeoff analysis across performance, power, cost, scalability, and deployment requirements to influence product direction. One or More of the Following Domains: AI / NPU Architecture • Analyze and optimize AI workloads including LLMs, Transformers, computer vision, multimodal AI, and recommendation systems. • Drive HW/SW co-design across architecture, compiler, runtime, driver, and framework layers. • Lead performance analysis and optimization across compute, memory, and communication subsystems. GPU & Graphics Architecture • Analyze graphics, rendering, compute, and AI workloads to optimize performance, efficiency, and scalability. • Drive architecture of GPU compute pipelines, graphics pipelines, memory systems, scheduling, and data movement. • Collaborate with graphics software, driver, runtime, and application teams to optimize workload execution and user experience. System Interconnect & Data Center Architecture • Architect high-performance data movement across compute, memory, storage, and networking subsystems. • Define scale-up and scale-out architectures using PCIe, CXL, Ethernet, UALink, or similar communication fabrics. • Drive architecture of cache-coherent fabrics, memory hierarchies, chiplet communication, and distributed AI systems. • Lead system-level architecture decisions for scalability, performance-per-watt, latency, and overall system efficiency. Required Qualifications • BS/MS in Electrical Engineering, Computer Engineering, Computer Science, or related field. • 10+ years of experience in AI accelerator, GPU, high-performance compute, system architecture, or related disciplines. • Deep expertise in one or more of the following areas:AI accelerator / NPU architectureGPU architecture, graphics pipeline, and compute architectureHigh-performance interconnects and communication fabricsData center system architectureMemory hierarchy and bandwidth optimizationAI workload performance analysis and modeling • Strong HW/SW co-design background with a solid understanding of how AI software stacks, compilers, runtimes, and drivers utilize underlying hardware resources. • Demonstrated ability to drive architecture decisions across hardware, software, memory, and communication subsystems. Language Requirements • Fluent in both Mandarin Chinese and English. • Able to lead technical discussions and collaborate effectively across global engineering teams. Minimum Qualifications: • Bachelor's degree in Science, Engineering, or related field and 8+ years of ASIC design, verification, validation, integration, or related work experience. OR Master's degree in Science, Engineering, or related field and 7+ years of ASIC design, verification, validation, integration, or related work experience. OR PhD in Science, Engineering, or related field and 6+ years of ASIC design, verification, validation, integration, or related work experience. Qualcomm is an equal opportunity employer. If you are an individual with a disability and need an accommodation during the application/hiring process, rest assured that Qualcomm is committed to providing an accessible process. You may e-mail disability-accomodations@qualcomm.com or call Qualcomm's toll-free number found here. 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