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Company:

Qualcomm India Private Limited

Job Area:

Engineering Group, Engineering Group > Systems Engineering

General Summary:

Qualcomm is a company of inventors that unlocked AI on Edge - ushering in an age of rapid acceleration in connectivity and new possibilities that will transform industries, create jobs, and enrich lives. But this is just the beginning. It takes inventive minds with diverse skills, backgrounds, and cultures to transform 5Gs potential into world-changing technologies and products. This is the Invention Age - and this is where you come in. QUALCOMM is the world's leading developer of next generation wireless and multimedia technology. Immediate opportunities exist in QUALCOMM's Multimedia Systems Group to work in the area of Low Power ML Accelerator, developing embedded software for next generation low power NPU. You will be part of the Multimedia Systems and R&D team and develop low power AI accelerator runtime software for Qualcomm Snapdragon platforms.

Minimum Qualifications:

• Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 2+ years of Systems Engineering or related work experience.

OR

Master's degree in Engineering, Information Systems, Computer Science, or related field and 1+ year of Systems Engineering or related work experience.

OR

PhD in Engineering, Information Systems, Computer Science, or related field.

Responsibilities:

The candidate will be expected to work with a team of engineers to design, implement, integrate, and test kernels for ML operators for Qualcomm's Low power ML accelerator.

Design, implement, integrate, and test kernels for ML operators for HW accelerator.

Create test framework for tracking performance and power metrics.

Work closely with other teams for ML model offload system integration, use case testing and commercialization support.

Requirements:

Strong programming skills in C/C++, Python

Expertise in developing and debugging software on embedded platforms.

Knowledge of ML operators such as Transformers, LSTM, GRUs..

Knowledge of software design patterns and multi-threaded programming, Eg POSIX

Knowledge of computer architecture, operating systems, data structures, and basic algorithms

knowledge of fixed-point coding

Knowledge of any ML frameworks pytorch, tensorflow..

Knowledge of Model quantization and compression techniques is a plus.

Working on ML inference optimizations is a plus.

Experience working on any AI HW accelerator (NPU) is a plus.

Proven ability to work in a dynamic, multi-tasked environment.

Self-starter who likes to be challenged and solve tough complex issues.

Educational Qualification:

Bachelor's/Master’s/PhD degree in Engineering, Electronics and communication, Computer Science or related filed.

Applicants : If you need an accommodation, during the application/hiring process, you may request an accommodation by sending email to accommodationsupport

Although this role has some expected minor physical activity, this should not deter otherwise qualified applicants from applying. If you are an individual with a physical or mental disability and need an accommodation during the application/hiring process, please call Qualcomm’s toll-free number found here (https://qualcomm.service-now.com/hrpublic?id=hr_public_article_view&sysparm_article=KB0039028) for assistance. Qualcomm will provide reasonable accommodations, upon request, to support individuals with disabilities as part of our ongoing efforts to create an accessible workplace.

Qualcomm is an equal opportunity employer and supports workforce diversity.

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.

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.

If you would like more information about this role, please contact Qualcomm Careers (http://www.qualcomm.com/contact/corporate) .

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