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This project will investigate methods for efficiently training and deploying Large Language model (LLM) -based machine learning architecture on embedded computing platforms, optimizing their performance within the constraints of these resource-limited systems. With such embedded LLM architecture, this project develops a vehicle data understanding system to collaborate and support smart home control and optimization.
What you need for this position:
• MS or PHD in Computer Science, Computer Engineering, Software Engineering, or similar.
• Expertise with Android Automotive OS, AOSP, Google Automotive Services SDSK, Kotlin, Java, and basic C
• Expertise in Machine Learning ML / Large Language Models LLM
• Expertise with Embedded Systems Architecture and Design
• Set up and configure the base application using the Android Automotive OS and Google Automotive Services SDK.
• Gather feedback for future refinements and potential enhancements.
Investigate methods for efficiently training and deploying Large Language model (LLM) -based machine learning architecture on embedded computing platforms, optimizing their performance within the constraints of these resource-limited systems
Top Skills:
1. Large Language Models LLM / Machine Learning ML
2. Embedded Systems Architecture
3. Google Automotive Services GAS / Android Automotive AOSP
Additional Details:
MS min but Ph.D. candidates Preferred
Date Posted: 29 April 2025
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