Staff SoC Architect, AI Data Center

Company: Qualcomm Technologies, Inc. Job Area: Engineering Group, Engineering Group > SoC Architecture General Summary: Qualcomm’s Data Center AI Architecture team defines next-generation cloud AI system-on-chip (SoC) and systems for generative AI inference workloads that demand exceptional compute, memory bandwidth, capacity, and system scalability. We are seeking exceptional architects to help shape multiple generations of AI accelerators and complete data center systems, with a strong focus on SoC, memory, and system architecture and technologies. If you are passionate about solving complex architecture challenges in a collaborative, multidisciplinary environment while contributing to building a substantial new business for one of the leading system-on-chip and computer architecture companies in the industry, we want to hear from you. Minimum Qualifications: •    Bachelor's degree in Electrical Engineering, Computer Science, or related field and 4+ years of Systems Engineering or related work experience. OR Master's degree in Electrical Engineering, Computer Science, or related field and 3+ years of Systems Engineering or related work experience. OR PhD in Electrical Engineering, Computer Science, or related field and 2+ years of Systems Engineering or related work experience. • 2+ years of experience in one or more system architecture technology areas and products (e.g., Power System, Shared Resource Management, Limits/Thermal Management, Hardware Islands). In this role, you will: Partner across architecture, design, systems, product, software, platform, and customer teams to deliver market-leading data center systems Translate product and workload requirements into SoC and system specifications, and drive feature-set requirements into technology, IP, platform, and software teams Execute SoC and system architecture studies, product definition, and implementation guidance, quantifying performance, power, area, cost, capacity, memory bandwidth, network topology/bandwidth/latency, and scalability tradeoffs while driving analysis methods and tools Follow designs through implementation and production, correlate observed system performance with models and targets, identify root causes of gaps, and drive performance to closure Execute competitive analysis across SoC, platform, system, compute, memory, data center networking, software, and deployment considerations Support and mentor technical contributors and generate innovations and patents Preferred Qualifications: MS or PhD in EE, ECE, CE, CS, or a related field 7+ years of relevant experience in SoC, platform, or system architecture; AI accelerators; memory architecture; or memory technologies Ability to collaborate across teams, build alignment, and contribute to technical direction Computer and system architecture expertise spanning one or more of processors, accelerators, memory systems, data center network fabrics, interconnects, hardware/software interfaces, platform topology, and SoC and system implementation tradeoffs Ability to execute quantitative SoC, system, and competitive studies using high-level calculators, spreadsheets, analytical models, profilers, and functional or performance simulators Experience developing architecture methodologies, tools, and analysis frameworks and translating findings into actionable recommendations Experience correlating modeled and measured system performance, isolating hardware and software bottlenecks, and driving cross-functional performance closure through production Excellent technical communication, documentation, and interpersonal skills, including presenting to technical and business stakeholders Self-directed execution, mentorship of others, and rigorous attention to accuracy Additional Qualifications: Understanding of generative AI and machine-learning workloads, especially Large Language Model inference and accelerator bottlenecks Experience in processor, accelerator, or system architecture, including ISA