Posted:3 months ago|
Platform:
Work from Office
Full Time
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 and 4+ years of Software Engineering or related work experience. OR Master's degree in Engineering, Information Systems, Computer Science, or related field and 3+ years of Software Engineering or related work experience. OR PhD in Engineering, Information Systems, Computer Science, or related field and 2+ years of Software Engineering or related work experience. 2+ years of work experience with Programming Language such as C, C++, Java, Python, etc. 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. See your work directly impact billions of mobile devices around the world & also most advanced Autonomous features for AUTO industry. In this position, you will be responsible for the development of test frameworks for Qualcomm Neural Network (QNN). You will work with neural network frameworks like TensorFlow, Pytorch and develop the validation framework to gauge functionality, performance, precision, and power of 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 pace 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 1. Expertise in Developing test cases, automating the tests, test case execution and troubleshooting/analyzing problems 2. Experience with Programming Language such as C, C++, Python, etc. 3. Strong proficiency in Python Programming 4. Solid understanding of OOPS, Automation and OS concepts. 5. Hands-on with Jenkins for CI/CD 6. Familiarity with Docker 7. Knowledge of AI, ML and GenAI will be added advantage. 8. Knowledge of version control systems like Git 9. Strong Problem-Solving skills and ability to work in fast-paced environment. 10. Live and breathe quality software development with excellent analytical and debugging skills. 11. Excellent communication skills (verbal, presentation, written) 12. Ability to collaborate across a globally diverse team and multiple interests 13. 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 1. Strong exposure to software testing methodologies and reporting. 2. Experience with CI tools like Jenkins and Data visualization tools like power BI ,Tableau 3. Development experience in Python & C++ Work Experience 9-14 years of relevant work experience in software dev/test development Educational Requirements Master"™s/Bachelor's Computer Science, Computer Engineering, or Electrical Engineering
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