{"id":2419625,"url":"https://alion.io/job/qualcomm-ai-system-architect-npu-gpu-interconnect-2","title":"AI System Architect (NPU / GPU / Interconnect)","company":{"id":94,"name":"Qualcomm","domain":"qualcomm.com","url":"https://alion.io/company/qualcomm","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Eightfold","truth_index":{"grade":"B","score":72,"open_postings":1256,"ghost_share":0.213,"stale_share":0.107,"repost_share":0.472,"time_to_fill_p50_days":74,"computed_at":"2026-10-13T05:45:00Z"}},"role":"Hardware","role_family":"Hardware","seniority":"staff","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Shanghai, China"],"countries":["CN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":62000,"max_usd":127000,"period":"year","method":"global_role_cell_scaled_by_country","sample_n":539},"experience_years_min":10,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Computer Vision","optional":false},{"name":"Multimodal AI","optional":false},{"name":"Recommender Systems","optional":false},{"name":"Rest-Assured","optional":false},{"name":"Transformers","optional":false}],"status":"live","first_seen_at":"2026-08-11T00:00:00Z","employer_posted_date":"2026-10-13","last_verified_at":"2026-10-13T15:52:24Z","board_verified":true,"closed_at":null,"days_open":63,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":63},"description":"Company:\nQualcomm China\nJob Area:\nEngineering Group, Engineering Group > ASICS EngineeringGeneral Summary:\nWe 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.\nSuccessful candidates will possess strong architectural knowledge in one or more of the following areas:\nAI accelerator and NPU architecture\nGPU architecture, graphics, and compute systems\nHigh-performance system interconnects and data center fabrics\nKey Responsibilities\nCustomer & Platform Architecture\nEngage with customers, partners, and internal stakeholders to understand AI workload requirements, deployment scenarios, performance targets, and system constraints.\nTranslate customer and market requirements into scalable system architecture, technology roadmaps, and platform features.\nDrive architecture tradeoff analysis across performance, power, cost, scalability, and deployment requirements to influence product direction.\nOne or More of the Following Domains:\nAI / NPU Architecture\nAnalyze and optimize AI workloads including LLMs, Transformers, computer vision, multimodal AI, and recommendation systems.\nDrive HW/SW co-design across architecture, compiler, runtime, driver, and framework layers.\nLead performance analysis and optimization across compute, memory, and communication subsystems.\nGPU & Graphics Architecture\nAnalyze graphics, rendering, compute, and AI workloads to optimize performance, efficiency, and scalability.\nDrive architecture of GPU compute pipelines, graphics pipelines, memory systems, scheduling, and data movement.\nCollaborate with graphics software, driver, runtime, and application teams to optimize workload execution and user experience.\nSystem Interconnect & Data Center Architecture\nArchitect high-performance data movement across compute, memory, storage, and networking subsystems.\nDefine scale-up and scale-out architectures using PCIe, CXL, Ethernet, UALink, or similar communication fabrics.\nDrive architecture of cache-coherent fabrics, memory hierarchies, chiplet communication, and distributed AI systems.\nLead system-level architecture decisions for scalability, performance-per-watt,latency, and overall system efficiency.\nRequired Qualifications\nBS/MS in Electrical Engineering, Computer Engineering, Computer Science, or related field.\n10+ years of experience in AI accelerator, GPU, high-performance compute, system architecture, or related disciplines.\nDeep expertise in one or more of the following areas:AI accelerator / NPU architecture\nGPU architecture, graphics pipeline, and compute architecture\nHigh-performance interconnects and communication fabrics\nData center system architecture\nMemory hierarchy and bandwidth optimization\nAI workload performance analysis and modeling\n\nStrong HW/SW co-design background with a solid understanding of how AI software stacks, compilers, runtimes, and drivers utilize underlying hardware resources.\nDemonstrated ability to drive architecture decisions across hardware, software, memory, and communication subsystems.\nLanguage Requirements\nFluent in both Mandarin Chinese and English.\nAble to lead technical discussions and collaborate effectively across global engineering teams.\nMinimum Qualifications:\n• Bachelor's degree in Science, Engineering, or related field and 8+ years of ASIC design, verification, validation, integration, or related work experience.OR\nMaster's degree in Science, Engineering, or related field and 7+ years of ASIC design, verification, validation, integration, or related work experience.\nOR\nPhD in Science, Engineering, or related field and 6+ years of ASIC design, verification, validation, integration, or related work experience.\nQualcomm 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  or call Qualcomm's toll-free number found here. Upon request, Qualcomm will provide reasonable accommodations to support individuals with disabilities to be able participate in the hiring process. Qualcomm is also committed to making our workplace accessible for individuals with disabilities. (Keep in mind that this email address is used to provide reasonable accommodations for individuals with disabilities. We will not respond here to requests for updates on applications or resume inquiries).\nQualcomm expects its employees to abide by all applicable policies and procedures, including but not limited to security and other requirements regarding protection of Company confidential information and other confidential and/or proprietary information, to the extent those requirements are permissible under applicable law.\nTo all Staffing and Recruiting Agencies:Our Careers Site is only for individuals seeking a job at Qualcomm. Staffing and recruiting agencies and individuals being represented by an agency are not authorized to use this site or to submit profiles, applications or resumes, and any such submissions will be considered unsolicited. Qualcomm does not accept unsolicited resumes or applications from agencies. Please do not forward resumes to our jobs alias, Qualcomm employees or any other company location. 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