As an AI/ML Systems Engineer you will contribute to the development of new architectures and products using our next generation Memory/Storage solutions for our Mobile Customers.
Responsibilities include but not limited to:
- Develop and Analyze Machine Learning or AI Models for Edge AI applications.
- Analyze OpenSource Large Language Vision and Multimodal models and deploy them for mobile systems.
- Customize the models for performance and power analysis and implement changes for performance improvements.
- Work with the thirdparty 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.
Work Location:
San Jose CA
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