Micron Technology, Inc.
Folsom, CA, United States
Req. ID: 146025
Micron Technology's vision is to transform how the world uses information to enrich life and our commitment to people, innovation, tenacity, collaboration, and customer focus allows us to fulfill our mission to be a global leader in memory and storage solutions. This means conducting business with integrity, accountability, and professionalism while supporting our global community.
As a Machine Learning Architecture Intern at Micron Technologies in Embedded Business Unit, you will be analyzing different AI architectures/workloads, neural networks, deep learning applications and their computational & memory requirements. These requirements will help define Micron's next generation memory and process-in-memory products optimized for Machine Learning applications. Micron is a technology leader in memory and storage products, and a market leader in embedded markets. As an intern in the architecture team, the candidate will get a unique opportunity and develop deep understanding of many current and new technologies that can be leveraged to address future of machine learning implementation in real applications.
Your responsibilities and engagements will include, but not limited to:
*Support definition of memory & computation requirements of image signal processing & image processing applications with ML *Generate models of vision processing neural nets using standard frameworks and libraries *Develop and document knowledge of low level hardware architecture and dataflow for Machine Learning architectures
Help develop process-in-memory architectures by analyzing the compute & data flow and identifying optimal ways the solve the problem
*Evaluate and analyze different nets in terms of performance, memory requirements, power consumption, area, complexity and flexibility on sample hardware platforms *Develop software and scripts to perform benchmarking and generate reports
Successful students for this internship will have:
*Strong background in computer architecture *Experience with machine learning software packages (e.g., scikit-learn, TensorFlow, Caffe, Theano, Torch) *Strong background in Python and C/C++ *Ability to convey rigorous mathematical concepts and considerations to non-experts *Ability to measure performance requirements of a neural network, i.e. # of operations, # of weights, accuracy, etc.
*Completed some coursework in Artificial Intelligence and Deep Learning *Understanding of computer vision, imaging applications, and required algorithms *Background in signal processing, specifically image signal processing *Exposure to GPU technology and hardware accelerators *Knowledge of machine learning architecture *Experience with CUDA/ Nvidia GPU
*Pursuing a degree in a Computer Science, Computer/Electrical Engineering or a related field *Prefer a Graduate student doing research in ML field with strong experience/interest on mapping deep learning processing requirements to hardware subsystems
As the leader in innovative memory solutions, Micron is helping the world make sense of data by delivering technology that is transforming how the world uses information. Through our global brands - Micron, Crucial and Ballistix - we offer the industry's broadest portfolio. We are the only company manufacturing today's major memory and storage technologies: DRAM, NAND, NOR and 3D XPoint(tm) memory. Our solutions are purpose built to leverage the value of data to unlock financial insights, accelerate scientific break throughs and enhance communication around the world.
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status.
For US Sites Only: To request assistance with the application process and/or for reasonable accommodations, please contact Micron's Human Resources Department at 1-800-336-8918 or 208-368-4748 and/or by completing our General Contact Form
Keywords: Folsom || California (US-CA) || United States (US) || EBU (Embedded Business Unit) || Intern || Internship || Engineering || Not Applicable || Tier 1 ||
Micron Technology, Inc.
Website : http://www.micron.com/