About the job
Qualcomm’s growing Data Center AI Architecture team is defining the next-generation cloud AI data center products to serve Large Language Model and Generative AI inference workloads, which demand exceptional effective memory bandwidths & capacities for effective compute. We are seeking computer architects with experience in data center SoC architecture, especially in the areas of memory systems, reliability/availability/serviceability (RAS), and/or emerging memory technologies such as processing in memory (PIM), 3DIC, and chiplets to drive the analysis and development of future generations of transformational inference accelerators & their memory architecture.
Responsibilities
In this dynamic role, you will have the opportunity to innovate, analyze, and help define multiple generations of AI accelerators and their memory system solutions on the cutting edge of the AI accelerator and memory industries. You will engage with Data Center Business Unit Architects and Product Managers to understand product requirements; analyze accelerator and memory technologies; quantify tradeoffs; and influence the technical direction with data-driven justifications. In turn, you will work with and drive requirements to various technology and IP core teams within Qualcomm to ensure delivery of components with the appropriate feature sets. Throughout the process, you will effectively communicate and collaboratively engage with other SoC & IP architects, designers, systems engineers, product managers, and software teams to enable market-leading Data Center products.
Qualifications
Minimum
Bachelor's degree in Computer Science, Engineering, Information Systems, or related field and 8+ years of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience. OR Master's degree in Computer Science, Engineering, Information Systems, or related field and 7+ years of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience. OR PhD in Computer Science, Engineering, Information Systems, or related field and 6+ years of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience.
Preferred
MS or PhD degree in EE/ECE/CE/CS or related field required 10+ years of experience in computer architecture, AI accelerators, memory architecture, memory technologies