LPAI ML SW Senior Engineer

Company: Qualcomm India Private Limited Job Area: Engineering Group, Engineering Group > Systems Engineering General Summary: Job Overview: 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 techiques is a plus • Working on ML inference optimizations is a plus • Experience working on any AI HW accelerator (NPU) is a plus • All Qualcomm employees are expected to actively support diversity on their teams, and in the Company. • Proven ability to work in a dynamic, multi-tasked environment • Self-starter who likes to be challenged and solve tough complex problems • Excellent verbal and written communication and presentation skills. • Quick learner, self-motivated, able to work independently and a Team player. • Aspiration for excellence. • Working in cross disciplinary, geographically-dispersed teams Educational Qualification: • Bachelor's/Master’s/PhD degree in Engineering, Electronics and communication, Computer Science or related filed. 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 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. 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