Memory System Architect – Cloud SoC Architecture

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General Summary:

Qualcomm’s growing Cloud & Data Center Business Unit SoC Architecture team analyzes requirements and SoC & system architecture to define the next-generation cloud AI and other data center products.  Memory architecture has become a pivotal technology track for these products.  Cloud AI workloads especially demand exceptional memory bandwidths and large capacities.  Meanwhile, the memory technology industry is transforming, leading to a variety of opportunities and choices.

We are seeking a Memory System Architect with experience and expertise in SRAM, DRAM, DDR, LPDDR, HBM, GDDR and newly emerging memory technologies to drive the analysis, selection, definition, and implementation of memory system architectures for our Cloud AI and Data Center products. 

If you’d like to be a member of collaborative multidisciplinary architecture team within a dynamic and growing Cloud & Data Center Business Unit, and if you’re passionate about shaping the future of the world’s most advanced technologies, we want to hear from you!

Minimum Qualifications:

In this highly visible role, you will have the opportunity to innovate and define Memory System solutions which will have significant impact on the technical direction and competitiveness of Qualcomm’s products.

You will engage with customers and product managers to understand product requirements; research and analyze potential memory technologies; engage directly with memory vendors and suppliers to evaluate options and drive requirements; quantify the tradeoffs; recommend technical direction with robust justification; and drive the Cloud BU and Qualcomm technology and engineering organizations to successfully execute on that technical direction.  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 define Memory System solutions enabling market-leading Cloud AI and Data Center products. 

Skills/Experience:

• Outstanding memory architecture expertise on SRAM, DRAM, DDR, LPDDR, HBM, GDDR and emerging memory technologies such as STT-MRAM, PIM, etc.
• Understanding internal memory technology organization, including DRAM bank & array arrangement, rows and columns, row buffer operation, internal data bus pathways, refresh, power state control, etc.
• Understanding of memory controller architecture, memory scheduling, prioritization and QoS
• Understanding memory PHY parameters and tradeoffs, including for LPDDR, DDR, and HBM
• Fluid knowledge of one or more JEDEC standards such as LPDDR, DDR, or HBM, and the ability to analyze such standards and drive recommendations
• Experience working with or working at the major DRAM and other memory vendors
• Background in memory systems and computer architecture to understand the tradeoffs among memory bandwidth, latency, performance, power, SoC area
• Understanding memory technology parameters such as reliability, thermals, ECC, encryption, etc.
• PHY shoreline, packaging, stacking, etc.
• Excellent communication, documentation, and interpersonal skills with ability to convey proposals and interact effectively across a distributed multi-discipline organization
• Ability to abstract appropriately to define problems and solution, and make data-drive decisions
• Record of quantitative analysis using (and developing) tools such as high-level calculators & spreadsheets, DRAM timing simulators, profilers, functional and performance simulators, etc.
• Experience driving JEDEC or similar standardization is a plus

Minimum Qualifications:

• MS or PhD degree in EE/ECE/CE/CS or related field required
• 10+ years of experience in memory architecture, memory technology, and computer architecture 

Additional Experience and Expertise:

• Memory technologist expertise, such as the internal cell structure for DRAM, MRAM, NAND Flash, etc. 
• Generative AI & Machine Learning workloads
• SoC architecture including heterogeneous compute, NoC/interconnect, multicore, multi-die, cache hierarchies, shared memory, I/O, coherency, compression, security, etc.
• Safety, reliability, security, and high-resilience/high-availability systems
• External memory and storage architectures (e.g., CXL, PCI, NVMe, etc.)
• Analytical modeling for performance, power, area, cost, etc.
• Behavioral, functional and performance modeling
• Power and/or performance optimization through simulation & modeling
• Simulator architectures and frameworks (C++ or Python-based preferred)

Qualcomm is an equal opportunity employer. If you are an individual with a disability and need an accommodation during the application/hiring process, rest assured that Qualcomm is committed to providing an accessible process. You may e-mail disability-accomodations@qualcomm.com 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. (Keep in mind that this email address is used to provide reasonable accommodations for individuals with disabilities. We will not respond here to requests for updates on applications or resume inquiries).

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Pay range and Other Compensation & Benefits:

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. Even more importantly, please note that salary is only one component of total compensation at Qualcomm.  We also offer a competitive annual discretionary bonus program and opportunity for annual RSU grants (employees on sales-incentive plans are not eligible for our annual bonus).  In addition, our highly competitive benefits package is designed to support your success at work, at home, and at play. Your recruiter will be happy to discuss all that Qualcomm has to offer – and you can review more details about our US benefits at this link.

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