Job Description

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 AI Software Group to work in the area of Low Power ML Accelerator Software framework, developing embedded software for next generation low power NPU. You will be part of the Qualcomm AI Software team and develop low power AI accelerator runtime software for Qualcomm Snapdragon platforms.

Responsibilities:

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

Design, implement, integrate, and test kernels for ML operators for HW accelerator.
 Create test framework for validating end-end ML Software and ML Model performance
 Work closely with other R&D and Systems team for ML model optimizations and 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 or PTHREADS

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

knowledge of fixed-point coding 

Knowledge of any ML frameworks pytorch, tensorflow, ONNX..

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

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.

Applicants: 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 myhr.support@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.

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.

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