As a leading technology innovator, Qualcomm pushes the boundaries of what's possible to enable next-generation experiences and drives digital transformation to help create a smarter, connected future for all. Our team of engineers and computer scientists works on projects related to high-performance embedded and edge computing, advanced numerical / scientific computing and algorithms, state-of-the-art optimizations, LLM and vision-based model accelerations and on-device performance optimizations, and quantization techniques, supporting internal and external clients at/of Qualcomm. Our research is at the cutting edge of AI R&D, is highly impactful with products and customer applications, and is making relevant and high impact both in research realm and real-world customers.

We are seeking talented Research Engineers to join our Artificial Intelligence R&D team. As a Machine Learning Engineer, you will work on a range of projects within a small technical team, conducting fundamental research that creates innovative machine learning methodology and achieves beyond state-of-the-art performance. You will be closely guided and mentored by one of our experienced researchers, providing you with an unparalleled learning experience. You will have the opportunity to publish your own research papers, and to attend client meetings and academic conferences. We 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. By joining our team, you can help Qualcomm Win Together, Achieve Excellence, Make the Impossible Inevitable, and Do the Right Thing.

Some examples of past and ongoing projects our team of Research Engineers have contributed to include:

Cutting-edge compiler optimizations for new industry-leading Qualcomm AI chips.

New approaches to and applications of nonconvex optimization

Developing new algorithmic implementations for Qualcomm hardware, grounded in mathematical and linear algebra theory and practice, improving on state-of-the-art standard approaches.

New approaches to accelerating inference and learning via algorithm, compiler and hardware innovations.

Drop-in replacements for traditional attention-based transformer architectures

State-of-the-art R&D in LLM inference efficiency algorithms, efficient model architecture design, and LLM training

Developing creative solutions with consideration of practical challenges on device

Implementation and evaluation of 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.

Desired Skills and Background

An ideal candidate will have:
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.

Experience:

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)

Special consideration will be given to candidates who possess ONE OR MORE of the following qualifications.

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.)

Minimum Qualifications:

• 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.
OR
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.
OR
PhD in Computer Science, Engineering, Information Systems, or related field and 2+ years of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience.

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).

To all Staffing and Recruiting Agencies: Our Careers Site is only for individuals seeking a job at Qualcomm. Staffing and recruiting agencies and individuals being represented by an agency are not authorized to use this site or to submit profiles, applications or resumes, and any such submissions will be considered unsolicited. Qualcomm does not accept unsolicited resumes or applications from agencies. Please do not forward resumes to our jobs alias, Qualcomm employees or any other company location. Qualcomm is not responsible for any fees related to unsolicited resumes/applications.

EEO Employer: Qualcomm is an equal opportunity employer; all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or any other protected classification.

Qualcomm expects its employees to abide by all applicable policies and procedures, including but not limited to security and other requirements regarding protection of Company confidential information and other confidential and/or proprietary information, to the extent those requirements are permissible under applicable law.

Pay range and Other Compensation & Benefits:

$158,400.00 - $237,600.00

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. 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.

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