Cloud AI Accelerator Memory Architect

Overview

Qualcomm’s Cloud AI Data Center 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 memory bandwidths and capacities for effective compute. We are seeking computer architects skilled in AI accelerators and memory architecture, with experience in memory systems, DRAM, and/or emerging memory technologies such as processing in memory (PIM) and 3DIC, to drive the analysis and development of future generations of transformational memory architecture. If you’d like to be a member of a collaborative multidisciplinary architecture team within a dynamic and growing Cloud AI Data Center Architecture team, and if you’re passionate about shaping the future of the world’s most advanced technologies, 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).

Role Description

In this 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.

Skills/Experience

• 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

Qualifications

• MS or PhD degree in EE/ECE/CE/CS or related field required
• 5-10 years of experience in computer architecture, AI accelerators, memory architecture, memory technologies

Additional Qualifications

• 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
• Works within the prescribed budgetary objectives of the department. Erroneous decisions, failure to achieve results may cause delays in schedules and result in the re-allocation of some resources.
• Has a moderate amount of influence over key organizational decisions (e.g., is consulted by senior leadership to make key decisions).
• Most tasks do not have defined steps; simultaneous use of multiple mental abilities is generally required to determine the best approach; mistakes may result in significant rework.
• Exceptional creativity to innovate new ideas and develop innovative products/processes without established objectives or known parameters.
• Deductive and inductive problem solving is required; multiple approaches may be taken/necessary to solve the problem; often information is missing or conflicting; advanced data analysis and interpretation skills are required.
• Occasionally participates in strategic planning within own area affecting immediate operations.

EEO Statement

Qualcomm is an equal opportunity employer. If you are an individual with a disability and need an accommodation during the application/hiring process, Qualcomm is committed to providing an accessible process. You may email 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.

Pay range and Other Compensation & Benefits : $148,300.00 - $222,500.00

The above pay scale reflects the broad, minimum to maximum, pay scale for this job code for the location for which it has been posted. Salary is one component of total compensation at Qualcomm, which also includes a discretionary bonus program and potential RSU grants. Benefits details available through the recruiter and on Qualcomm’s benefits site.

If you would like more information about this role, please contact Qualcomm Careers.