Qualcomm · 1 month ago
Staff AI Research Engineer
San Diego, California, United States of America
Full-time
Onsite
Senior Level, Lead/Staff
$158K/yr - $238K/yr
2+ years expQualcomm Technologies, Inc. is a leading technology innovator that pushes the boundaries of what's possible to enable next-generation experiences. They are seeking talented Research Engineers to join their Artificial Intelligence R&D team, where the role involves conducting fundamental research to create innovative machine learning methodologies and achieving beyond state-of-the-art performance.
Artificial Intelligence (AI)Generative AISoftwareTelecommunicationsWireless
Responsibilities
Conducting fundamental research that creates innovative machine learning methodology and achieves beyond state-of-the-art performance
Work on a range of projects within a small technical team
Publish your own research papers and attend client meetings and academic conferences
Support Qualcomm’s mission for making the world a better place one wireless connection at a time, making AI smarter, cars drive better, networks move data faster, and extending reality
Contribute to cutting-edge compiler optimizations for new industry-leading Qualcomm AI chips
Develop new approaches to and applications of nonconvex optimization
Develop new algorithmic implementations for Qualcomm hardware, grounded in mathematical and linear algebra theory and practice, improving on state-of-the-art standard approaches
Develop new approaches to accelerating inference and learning via algorithm, compiler and hardware innovations
Create drop-in replacements for traditional attention-based transformer architectures
Conduct state-of-the-art R&D in LLM inference efficiency algorithms, efficient model architecture design, and LLM training
Develop creative solutions with consideration of practical challenges on device
Implement and evaluate possible solutions in both simulation and on-device environments for GPUs, Qualcomm NPUs, and heterogeneous computing environments for image recognition, autonomous driving, and general vision-based environments
Qualification
Required
Bachelor's degree in Computer Science, Engineering, Information Systems, or related field and 4+ years of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience
Master's degree in Computer Science, Engineering, Information Systems, or related field and 3+ years of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience
PhD in Computer Science, Engineering, Information Systems, or related field and 2+ years of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience
A solid intellectual and cognitive ability, motivation, a strong history of achievement, and an ability to synthesize knowledge from a variety of sources
A strong mathematics foundation (theory and applied), numerical computing background, programming and engineering skills, as well as excellent oral and written communication skills
A firm mathematics background, as well as a strong knowledge of advanced algorithms
A passion for Computer Science research and application
A genuine interest in the spectrum of Qualcomm's 5+G, AI and other distributed intelligence projects
The flexibility to move among diverse sets of research topics
Research experience, including publication history – AI R&D preferred
Background and understanding of the mathematical foundations of deep learning
Strong programming / engineering skills (experience with version control, Github, etc)
Preferred
PhD in Computer Science, Applied Mathematics, Electrical Engineering, or related field
Experience in LLM efficiency research such as efficient attention, inference acceleration, or KV cache compression
Deep experience with Pytorch, strong understanding of Python and packages
Experience in LLM reasoning or inference acceleration research
Experience with vision-based AI problem space
Experience in on-device AI deployment on mobile or edge devices
Publication history of research papers at top-tier AI/ML conferences / journals, e.g., NeurIPS, ICML, CVPR, and ICLR OR publication history in scientific computing journals or conferences (IEEE, ACM, SIAM, etc.)
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.
10001+ employees
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
Leadership Team
Cristiano Amon
President & CEO
I
Isaac Eteminan
CEO
Recent News
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