Cloud AI Accelerator Memory Senior Engineer

Qualcomm • San Diego, CA

98d • $122,500 - $183,700

About The Position

In this exciting and dynamic role, you will have the opportunity to innovate, analyze, and help define multiple generations of AI acceleration and memory system solutions which will be pivotal not just for the technical direction and competitiveness of Qualcomm’s products, but will be on the cutting edge within the Ai accelerator and memory industry as a whole. You will engage with Cloud BU architects to understand product requirements; analyze accelerator and memory technologies; quantify tradeoffs; and influence the technical direction with data-driven justification. Throughout the process, you will effectively communicate and collaboratively engage with the other SoC & IP architects, designers, systems engineers, product managers, and software teams to enable market-leading Cloud AI and Data Center products.

Requirements

• Bachelor's degree in Electrical Engineering, Computer Science, or related field and 2+ years of Systems Engineering or related work experience.
• Master's degree in Electrical Engineering, Computer Science, or related field and 1+ year of Systems Engineering or related work experience.
• PhD in Electrical Engineering, Computer Science, or related field.
• 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).
• Computer architecture background and the quantitative analysis tools and methods.
• Analytical, behavioral, functional, and performance modeling and analysis.
• Simulator architectures and frameworks (C++ or Python-based preferred).
• Preferably experience in instruction set definition, extensions, and documentation.
• Background in memory systems, understanding the tradeoffs among bandwidth, latency, power, etc.
• Understanding of DRAM memory organization and architecture, memory controllers & scheduling across one or more protocols such as LPDDR, HBM, DDR, GDDR, etc.
• Record of quantitative analysis using (and developing) tools such as high-level calculators & spreadsheets, DRAM timing simulators, profilers, functional and performance simulators, etc.
• Preferably exposure to novel memory technologies such as processing-in-memory (PIM), processing-near-memory, 3DIC, etc.
• Ability to abstract appropriately to define problems and solutions, and make data-driven decisions.
• Excellent communication, documentation, and interpersonal skills with ability to convey proposals and interact effectively across a distributed multi-discipline organization.
• Self-driven execution and a focus on accuracy and rigorous methodology.

Nice To Haves

• Generative AI & Machine Learning workloads, especially Large Language Model inference.
• Processor architecture, including ISA design & microarchitecture.
• Exposure to one or more of: power, thermals, reliability, RAS, ECC, security, encryption, PHYs, packaging.

Benefits

• $122,500.00 - $183,700.00 salary range.
• Competitive annual discretionary bonus program.
• Opportunity for annual RSU grants.
• Highly competitive benefits package designed to support success at work, at home, and at play.

What This Job Offers

• Education Level: Master's degree
• Number of Employees: 5,001-10,000 employees