Description

You will investigate methods for efficiently using AI and Machine Learning architectures on embedded computing platforms, optimizing performance within resource-limited constraints.

This role is on-site.

Responsibilities

• Optimize ML and LLM architectures for Android Automotive OS and AOSP environments.
• Design and implement embedded system solutions using Kotlin, Java, and C++.
• Gather feedback for future refinements and potential enhancements of automotive services.
• Conduct research on efficient AI deployment in resource-constrained embedded systems.

Required Skills

• 7+ years of experience in software engineering or research.
• Expertise with Android Automotive OS, AOSP, and Google Automotive Services SDSK.
• Strong proficiency in Kotlin and Java.
• Basic C++ programming skills.
• Deep knowledge of Machine Learning (ML) and Large Language Models (LLM).
• Expertise in Embedded Systems Architecture and Design.
• MS or PhD in Computer Science, Computer Engineering, Software Engineering, or similar field.

Preferred Skills

• Experience with performance optimization on resource-limited hardware.
• Background in automotive software development.

Key Skills

Education

Any Graduate