As an AI/ML Systems Engineerat Micron Technology, Inc., you will contribute to the development of new architectures and products using Micron s next generation Memory/Storage solutions for Micron s Mobile Customers.

5 - 7 Years EXPERIENCE

Responsibilities include, but not limited to:

• Develop and Analyze Machine Learning or AI Models for Edge AI applications.

• Analyze Open-Source Large Language, Vision and Multi-modal models and deploy them for mobile systems.

• Customize the models for performance and power analysis and implement changes for performance improvements.

• Work with the third-party Application and Model developers to get custom models for mobile devices and to analyze Memory and Storage requirements.

• Work with the SDKs from SoC vendors to deploy models on different Accelerators in the mobile system and analyze the performance with different accelerators.

• Run tests to assess and AI performance.

• Stay up to date on the latest innovations in machine learning.

Successful candidate for this position will have the following:

• Must have a BS or Master s degree or PhD in Electrical and/or Computer Engineering or Computer Science

• At least 5 years of relevant work experience.

• Strong understanding of dimensionality reduction techniques, clustering, and classification.

• Familiarity with supervised and unsupervised machine learning metrics and requirements.

• Excellent writing, documentation, and communication skills.

• Ability to learn new skills and take on new responsibilities.

• Experience working with AI Accelerators and Performance Analysis

• Experience in ASIC or FPGA Design, Verification

• Experience in Architecture, Microarchitecture of high speed, low power, optimal area IPs

• Great communications skills with the ability to articulate results.

Preferred Skills:

• Experience with dynamical systems, optimization, and simulation.

• Knowledge of the latest and most performant ML/AI algorithms.

• Ability to create customer deliverable research reports.

• Proposal writing skills for new ML/AI work.

• Processor system knowledge including basic understanding of SoC systems as well as operating system software.