Job Id E1976646
Job Title Machine Learning Software Engineer
Post Date 09/20/2019
Company Qualcomm Technologies, Inc.
Job Area Engineering - Software
Location China - Shanghai
Job Overview Do you want to work in the biggest emerging field of technology since the birth of the Internet? Machine learning is going to change EVERYTHING. As a member of the Qualcomm machine learning team, you get to apply your neurons to our neural net processing engine. We combine high performance software with cutting edge hardware to run deep neural nets fast, and we do it with the lowest power on that little computer that you keep in your pocket. In this position you will be responsible for enabling advanced machine learning usage scenarios on top of Qualcomms hardware and software infrastructure. You will work with neural network frameworks like Caffe and TensorFlow, extend our neural net engine to support the latest and greatest DNNs emerging from the research community, and optimize for next generation hardware acceleration cores. You will also validate the performance and accuracy of the engine through detailed analysis and test coverage. Live and breathe software development with excellent analytical, development, and debugging skills and partner with industry-leading organizations for delivering next generation of machine learning technology into the hands of millions.
Minimum Qualifications Bachelor's degree in Engineering, Information Systems, Computer Science, or related field.
2+ years Software Engineering or related work experience.
2+ years experience with Programming Language such as C, C++, Java, Python, etc.
Preferred Qualifications 2-5 years of software experience within the wireless, telecommunications or semiconductor industry. Good C/C++ skills and embedded programming skills. Experience in Linux/Android software development in both user space and kernel space. System level issues debugging with JTAG or gdb tool. Expertise in at least one of the following areas: oDSP software development and algorithm implementation. oOpenCL programming and debugging. oPerformance profiling and optimization for parallel computing. oImage processing, computer vision, and object/face detection specially. Enthusiasm in machine learning technology. Hand-on experience in design/implementation of deep learning networks via modern frameworks, including TensorFlow, Caffe, etc. Ability to quickly learn new technologies and work on resolving customer reported technical problems during mobile or wireless communication product development cycles. Excellent analytical, problem solving and Communication skills and willingness to work with customers
Education Requirements Required: Bachelor, Computer Engineering and/or Computer Science and/or Electrical Engineering
Preferred: Master or PhD, Computer Engineering and/or Computer Science and/or Electrical Engineering
Keywords
You will need to   login into your profile to apply for this job.
If you are a   new user, click here to create a profile.
Messages

Return To Search Results Send this Job to a Friend
 
Applicants: If you need an accommodation, during the application/hiring process, you may request an accommodation by sending email to accommodationsupport@qualcomm.com
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.
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.