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Embedded Machine Learning Research Intern

Bosch Group

Embedded Machine Learning Research Intern

Mountain View, CA
Internship
Paid
  • Responsibilities

    Company Description The Bosch Research and Technology Center North America with offices in Sunnyvale, California, Pittsburgh, Pennsylvania and Cambridge, Massachusetts is part of the global Bosch Group (www.bosch.com), a company with over 70 billion euro revenue, 400,000 people worldwide, a very diverse product portfolio, and a history of over 125 years. The Research and Technology Center North America (RTC-NA) is committed to providing technologies and system solutions for various Bosch business fields primarily in the areas of Human Machine Interaction (HMI), Robotics, Energy Technologies, Internet Technologies, Circuit Design, Semiconductors and Wireless, and MEMS Advanced Design.The Bosch Research and Technology Center focuses on the following topics: ASIC design and microsensor system technology; energy conversion and energy storage technologies, modeling simulation and controls; wireless technologies; internet technologies; algorithms for robotics, autonomous systems and data mining; and user interaction technologies. By choice, we are an Equal Opportunity Employer committed to a diverse workforce. The Microsensor System Technologies Group at the Robert Bosch – Research and Technology Center (RTC) in Palo Alto focuses on solving key challenges that will lead to the next generation of MEMS sensor devices. Strong collaboration with researchers and labs at Stanford University and The University of California at Berkeley combined with the innovative spirit of the Silicon Valley have helped the group in deftly tackling several significant research projects. Job Description Purpose:The purpose of an Intern within the Microsensor and Systems Technologies group is to provide support for development and scouting of new sensor system technologies.Summary Description:As part of the team that specializes in systems and algorithm for new sensor concepts, the Intern is primarily responsible for the implementation of machine learning algorithm onto target hardware including micro controllers, FPGAs, edge TPU and Raspberry.Additional tasks include system definition and optimization, design and run of experiments, data gathering and interpretation, performing scouting, documentation, organization and related tasks at the direction of a research engineer, scientist, or project leader.Primary Responsibilities: Support the team with the deployment of standard and nonstandard AI and machine learning algorithm onto resource limited hardware Design, build, and maintain developer environments for machine learning Design, run, analyze, and manage simulation and provide simulation reports Provide scouting support through literature searches, patent searches, industry/academic news searches, academic/business networking, and related activities* Keep detailed records of activities, and contribute to presentations and written reports Qualifications Minimum Qualifications:* Pursuing Master’s or Ph.D. degree in Computer Science, Electrical Engineering, or related AI fields* Practical experience with FPGAs, microcontrollers or related target hardware* Familiar with common machine learning tools and libraries* Demonstrated ability to plan, conduct, and manage tasks of medium scope* Strong personal computer skills including Microsoft and Linux OS* Excellent oral and written communication skillsDesired Skills/Experience:* Last year Master’s program or started Ph.D.* Research in sensor related AI and machine learning field with limited resources* Solid with developer environments on Windows and Linux* Solid background with TensorFlow, Python and Matlab* Able to modify machine learning frame works is a plus Additional Information Internship duration: 6 monthsBy choice, we are committed to a diverse workforce - EOE/Protected Veteran/Disabled.BOSCH is a proud supporter of STEM (Science, Technology, Engineering & Mathematics) Initiatives FIRST Robotics (For Inspiration and Recognition of Science and Technology) AWIM (A World in Motion)