Machine Learning Systems Engineer

Skip to main contentOur CompanyOur BusinessSearch for JobsJoin Talent NetworkFAQsProfileEnglishSign InWelcome to an enhanced Qualcomm Careers platform! We’ve reimagined our site to streamline your experience as you explore opportunities and invent the future with Qualcomm. Get started by creating a profile using sign in, setting your preferences, and managing your Qualcomm job search—all in one place. Note: Your past applications will be available when you sign in using the same email address you previously used to apply.Single PositionView All JobsMachine Learning Systems EngineerSanta Clara, California, United States of AmericaApply NowAdd to Job CartFind out how well you match with this jobUpload your resumeJob descriptionCompany and benefitsJob ID3093354Company:Qualcomm Technologies, Inc.Job Area:Engineering Group, Engineering Group > Multimedia SystemsGeneral Summary:Sensors-based technology has a wide range of applications including navigation, gaming, smart user interface, multimedia, virtual reality and augmented reality. This challenging position offers the opportunity to design state-of-the-art algorithms for leading edge solutions in smartphones, automotive, IOT, smartwatches as many other consumer electronics devices. Job activities span the whole product life cycle from early R&D to commercial deployment. The successful candidate will work with systems, software, and integration/test engineers in the QCT sensors group Job responsibilities include: Develop state-of-the-art algorithms for single and multi-sensor fusion using ML/AI techniques. Typical development flow uses high level languages like MATLAB and Python. Create reports on algorithm evaluation, validation, benchmarking and delivering complete design and user documentation. Define strategies to analyze and collect data. Balance between performance, power consumption, and computational complexity. Work with global development and test teams. Software implementation in C/C++ on Qualcomm platforms The position is technology focused and involves participation in a broad range of sensors systems engineering activities within the Sensors Technologies group Preferred Qualifications Master or PhD in Electrical or Computer Engineering or related area or equivalent experience. Experience with using concepts in probability and statistics, supervised and unsupervised learning, feature extraction, classification, regression etc. Knowledge of inertial sensors or working on algorithm designs using IMUs. Publications in field of signal processing/AI Hands on experience of algorithm implementation and debugging. Minimum Qualifications:•    Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 2+ years of Systems Engineering or related work experience. ORMaster's degree in Engineering, Information Systems, Computer Science, or related field and 1+ year of Systems Engineering or related work experience. ORPhD in Engineering, Information Systems, Computer Science, or related field.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 disability-accomodations@qualcomm.com or call Qualcomm's toll-free number found here. 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. (Keep in mind that this email address is used to provide reasonable accommodations for individuals with disabilities. We will not respond here to requests for updates on applications or resume inquiries).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...