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Qualcomm Machine learning/C++ developer - Associate engineer in Hyderabad, India

Company:

Qualcomm India Private Limited

Job Area:

Engineering Group, Engineering Group > Software 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 Software Engineer, you will design, develop, create, modify, and validate embedded and cloud edge software, applications, and/or specialized utility programs that launch cutting-edge, world class products that meet and exceed customer needs. Qualcomm Software Engineers collaborate with systems, hardware, architecture, test engineers, and other teams to design system-level software solutions and obtain information on performance requirements and interfaces.

Minimum Qualifications:

• Bachelor's degree in Engineering, Information Systems, Computer Science, or related field.

  • Job DescriptionJob DescriptionAs 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 Software Engineer, you will design, develop, create, modify, and validate embedded and cloud edge software, applications, and/or specialized utility programs that launch cutting-edge, world class products that meet and exceed customer needs. Qualcomm Software Engineers collaborate with systems, hardware, architecture, test engineers, and other teams to design system-level software solutions and obtain information on performance requirements and interfaces.

  • Additional Job DescriptionAdditional Job DescriptionPosting Title Machine Learning Engineer /Sr Engineer Job Overview Join a new and growing team at Qualcomm focused on advancing state-of-the-art in Machine Learning. The team uses Qualcomm chips’ extensive heterogeneous computing capabilities and engineers them to allow the running of trained neural networks on device without a need for connection to the cloud. Our inference engine is designed to help developers run neural network models trained in a variety of frameworks on Snapdragon platforms at blazing speeds while still sipping the smallest amount of power. Your work directly impact billions of mobile devices around the world. In this position, you will be responsible for testing Snapdragon Neural Processing Engine SDK (SNPE) and Qualcomm® AI Engine Direct SDK (QNN) using Desktop Application. You will work with neural network frameworks like ONNX,Pytorch, TensorFlow and develop the validation framework to gauge functionality, performance, precision and power of SNPE/QNN. You will work with the latest and greatest DNNs emerging from the research community. You will also have to keep up with the fast-paced development happening in the industry and academia to continuously enhance our benchmarking and validation infrastructure from software engineering as well as machine learning standpoint. Minimum Qualifications Expertise in Developing test cases, automating the tests, test case execution and troubleshooting/analyzing problems Experience in Electron based app testing on different operating systems(windows,Linux,Mac). Experience with testing frameworks like Jasmine, Playwright (for Electron JS based desktop application) Strong development skills in Python Strong understanding of Machine learning/Deep learning workflows.. Experience with at least one machine learning framework like TensorFlow, Pytorch etc. Excellent communication skills (verbal, presentation, written), Strong problem-solving skills, Good time management skills,, excellent analytical and debugging skills, must be an effective team player, and should be self-driven. Preferred Qualifications Strong exposure to software testing methodologies and reporting. Experience with CI tools like Jenkins and Data visualization tools like power BI and Tableau Work Experience 1 to 2 years of relevant work experience in software dev/test development Educational Requirements Master’s/Bachelor's Computer Science, Computer Engineering, or Electrical Engineering

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

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