Our vision is to transform how the world uses information to enrich life forall.
Micron Technology is a world leader in innovating memory and storage solutions that accelerate the transformation of information into intelligence, inspiring the world to learn, communicate and advance faster than ever.
As a machine learning engineer in Micron's Scalable Memory Systems group, you will be part of a pathfinding and strategy organization that is defining and influencing the future direction of memory for high-performance compute (HPC) and artificial intelligence (AI) systems!
In this role, you will apply and grow your expertise in machine learning (ML), AI software workflows and compute system architecture.You will support technology pathfinding needs which may include AI research, analyzing use cases, exploring tools, benchmarking performance, and collaborating with others.You will have an opportunity to work with proof-of-concept computer systems comprising multiple host servers, GPUs, shared memory and memory accelerators!
This hybrid work schedule position is located in Richardson, TX.
Your responsibilities may include, but are not limited to:
Researching technologies and tools related to ML and AI
Developing and analyzing AI workflows to support use case studies
Collaborating with system architects and software engineers to define and influence memory innovations for future compute systems
Modifying applications and libraries for technology demonstrations
Sharing knowledge with others through white papers and presentations
We are seeking candidates with the following:
(Required) PhD, master's degree with =5 years' relevant experience, or bachelor's degree with =10 years' relevant experience
(Required) Experience implementing AI workflows using AI/ML frameworks (PyTorch, TensorFlow, etc.)
(Required) Deep technical understanding of ML and AI algorithms, neural networks and models
Knowledge of how compute system architecture and memory scaling impact AI and ML workflows and models
Experience with application performance benchmarking on heterogeneous (CPU + GPU) systems
Experience programming GPUs (CUDA, OpenCL, SYCL, etc.)
Python and C++ programming experience in a Linux environment
Familiarity with compute scaling, parallel computing and shared memory technologies (CXL, NvLink, UALink, OpenMP, MPI, etc.) is desired
Willingness to work on a varying mix of research- and demonstration-focused assignments depending on the changing needs of a pathfinding organization
Ability to work in a team environment that includes both on-site and remote team members
#hybrid
As a world leader in the semiconductor industry, Micron is dedicated to your personal wellbeing and professional growth. Micron benefits are designed to help you stay well, provide peace of mind and help you prepare for the future. We offer a choice of medical, dental and vision plans in all locations enabling team members to select the plans that best meet their family healthcare needs and budget. Micron also provides benefit programs that help protect your income if you are unable to work due to illness or injury, and paid family leave. Additionally, Micron benefits include a robust paid time-off program and paid holidays.For additional information regarding the Benefit programs available, please see the Benefits Guide posted onmicron.com/careers/benefits.
Micron is proud to be an equal opportunity workplace and is an affirmative action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, age, national origin, citizenship status, disability, protected veteran status, gender identity or any other factor protected by applicable federal, state, or local laws.
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To learn more about Micron, please visitmicron.com/careers
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