Principal Engineer - Memory-Centric AI Compute Architect jobs in United States
cer-icon
Apply on Employer Site
company-logo

Qualcomm · 2 days ago

Principal Engineer - Memory-Centric AI Compute Architect

positionSan Diego, CA
timeFull-time
remoteOnsite
senioritySenior Level, Lead/Staff
money$192K/yr - $288K/yr
date6+ years exp

Qualcomm is a company of inventors that unlocked edge AI and connected computing. The role involves developing new algorithms and architectures for memory-centric compute systems, focusing on improving speed, power efficiency, and scalability of AI workloads.

Artificial Intelligence (AI)Generative AISoftwareTelecommunicationsWireless
check
Comp. & Benefits
check
H1B Sponsor Likelynote

Responsibilities

Architect, design, and implement scalable AI/ML computing infrastructure for data center, compute, and mobile
Develop and optimize AI algorithms for the memory-centric compute systems for better performance and power
Co-optimize compute, memory, and connect fabric allocation for the improved scale-up and scale-out metrics
Develop and validate the algorithms using Phyton, C, etc for improved throughput, latency, power, and energy
Use state-of-the-art modeling tools and numerical analysis techniques for performance modeling

Qualification

ASIC designAI algorithmsMemory architecturePerformance modeling toolsProgramming languagesCommunication skillsTeamworkProblem-solving skillsIndependent work

Required

Bachelor's degree in Science, Engineering, or related field and 8+ years of ASIC design, verification, validation, integration, or related work experience
Master's degree in Science, Engineering, or related field and 7+ years of ASIC design, verification, validation, integration, or related work experience
PhD in Science, Engineering, or related field and 6+ years of ASIC design, verification, validation, integration, or related work experience
Experience in computer and memory architectures
Good knowledge of AI models such as CNNs, RNNs, transformers, LLM, multi-modal AI, and AI agents
Good knowledge of dataflow, memory and bus protocols
Knowledge of tensor cores, near-memory computing, and high-bandwidth memories such as HBM
Knowledge in memory controller design
Proficiency in use of performance modeling tools
Good knowledge of memory architecture, scalar processors, and 2.5D/3D integration
Master's or Ph.D. in Electrical Engineering, Computer Science, and a related field

Preferred

Familiar with in/near-memory computing
Experience in programming language (C/C++/Phyton) or scripting language (Perl/Python)
Familiar with the DRAM datasheets and IO interfaces

Benefits

Competitive annual discretionary bonus program
Opportunity for annual RSU grants
Highly competitive benefits package

Company

Qualcomm

twittertwittertwitter
Glassdoor4.0
company-logo
Qualcomm designs wireless technologies and semiconductors that power connectivity, communication, and smart devices.
dateFounded in 1985
location
San Diego, California, USA
people-size10001+ employees
web-link
http://www.qualcomm.com

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 Company
Total Funding
$3.5M
1991-12-20IPO
1988-01-01Undisclosed· $3.5M

Leadership Team

leader-logo
Cristiano Amon
President and Chief Executive Officer
linkedin
I
Isaac Eteminan
CEO
linkedin

Recent News

Mac Observer
Apple and Rivals May Launch Their First 2nm Chips in the Same Month
2026-01-04
Android Authority
Survey confirms: You don't need any 'elite' chip for your next phone
2026-01-03
Mashable
The top 6 CES 2026 trends I expect to see at techs biggest show
2025-12-31
Company data provided by crunchbase