Qualcomm · 7 hours ago
Cloud AI Accelerator Memory Senior Engineer
Qualcomm Technologies, Inc. is seeking a Cloud AI Accelerator Memory Senior Engineer to innovate and define AI acceleration and memory system solutions. The role involves engaging with architects to understand product requirements and collaborating with various teams to drive the technical direction of Cloud AI and Data Center products.
Artificial Intelligence (AI)Generative AISoftwareTelecommunicationsWireless
Responsibilities
Innovate, analyze, and help define multiple generations of AI acceleration and memory system solutions
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
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
Qualification
Required
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
MS or PhD degree in EE/ECE/CE/CS or related field required
2+ years of experience in computer architecture, AI accelerators, memory architecture, memory technologies
Preferred
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
Competitive annual discretionary bonus program
Opportunity for annual RSU grants
Highly competitive benefits package
Company
Qualcomm
Qualcomm designs wireless technologies and semiconductors that power connectivity, communication, and smart devices.
H1B Sponsorship
Qualcomm has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (2013)
2024 (1910)
2023 (3216)
2022 (2885)
2021 (2104)
2020 (1181)
Funding
Current Stage
Public CompanyTotal Funding
$3.5M1991-12-20IPO
1988-01-01Undisclosed· $3.5M
Recent News
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2026-01-23
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