Qualcomm Technologies, Inc. is seeking a Cloud AI Accelerator Memory Architect to join their Engineering Group in San Diego, CA. The role involves defining next-generation cloud AI data center products for Large Language Model and Generative AI inference workloads.
About the Role
As a Cloud AI Accelerator Memory Architect, you will innovate and analyze AI acceleration and memory system solutions, engage with Cloud BU architects to understand product requirements, and influence technical direction with data-driven justification. You will collaborate with SoC & IP architects, designers, systems engineers, product managers, and software teams to enable market-leading Cloud AI and Data Center products.
About You
Required:
Bachelor's degree in Computer Science, Engineering, Information Systems, or related field and 6+ years of relevant work experience.
Computer architecture background and experience with quantitative analysis tools and methods.
Understanding of DRAM memory organization and architecture, memory controllers & scheduling across protocols such as LPDDR, HBM, DDR, GDDR.
Preferred:
MS or PhD degree in EE/ECE/CE/CS or related field.
5-10 years of experience in computer architecture, AI accelerators, memory architecture, and memory technologies.
Experience with novel memory technologies such as processing-in-memory (PIM) and 3DIC.
Benefits
Competitive annual discretionary bonus program.
Opportunity for annual RSU grants.
Comprehensive benefits package designed to support success at work, at home, and at play.