Job
Description
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 2+ years of Software Engineering or related work experience. OR Master's degree in Engineering, Information Systems, Computer Science, or related field and 1+ year of Software Engineering or related work experience. OR PhD in Engineering, Information Systems, Computer Science, or related field. 2+ years of academic or work experience with Programming Language such as C, C++, Java, Python, etc. Job Overview As a member of the Fingerprint SW team, the developer shall design, modify, and implement Fingerprint SW in Middleware Layer for Qualcomm Fingerprint Solution SW design and development on embedded platforms SW Stack development in Middleware layer. Debug and resolve issues in SW reported by internal test teams as well as by customers.Minimum Qualifications 3 to 5 years of experience with embedded systems Must be proficient in C and Database Concepts. Understanding of Linux User and Kernel space development. Good analytical and problem solving skills Strong understanding of basic real-time/embedded programming concepts & real time operating systems concepts Preferred Qualifications Good understanding of microprocessor, multiprocessor architecture. Good to have exposure with ARM based processor and Trustzone awareness. Good to have some basic understanding of Machine Learning and Deep learning techniques.
