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Qualcomm AISW ML Applications - Er/Sr Er/Staff in Bangalore, India


Qualcomm India Private Limited

Job Area:

Engineering Group, Engineering Group > Systems Engineering

General Summary:

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. As a Qualcomm Systems Engineer, you will research, design, develop, simulate, and/or validate systems-level software, hardware, architecture, algorithms, and solutions that enables the development of cutting-edge technology. Qualcomm Systems Engineers collaborate across functional teams to meet and exceed system-level requirements and standards.

Minimum Qualifications:

• Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 4+ years of Systems Engineering or related work experience.


Master's degree in Engineering, Information Systems, Computer Science, or related field and 3+ years of Systems Engineering or related work experience.


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

  • Experience - 2-12 Years

  • Location- Bangalore

Desired Skills and Aptitudes

· Strong theoretical understanding of model architectures of various object classification, object detection models, recommender systems, NLP, Text and voice processing models, Large language models, 3D models

· Experience in creating new Neural NW architectures for different use cases and the use of correct datasets, achieving the desired target accuracy

· Forward looking attitude, analyze upcoming trends in neural NWs and techniques

· Strong understanding of various model quantization techniques.

· Strong in mathematical statistics, probability theory and Linear algebra related to Machine Learning / Deep Neural NWs

· Strong hands on in Data structures and algorithms (Skill level > 7/10)

· Good understanding of design patterns and design philosophies

· Understanding of performance and accuracy metrics for different class of neural NWs

· Background of HW architectures like GPUs, AI accelerators like TPUs will be a plus

· Strong development skills in C++ / Python (> 7/10 in skill level)

· Strong hands on expertise in Deep Learning frameworks such as Pytorch and TensorFlow

· Excellent leadership skills, communication skills (written and verbal) and team player

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 (https://qualcomm.service-now.com/hrpublic?id=hr_public_article_view&sysparm_article=KB0039028) . 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 (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