Summer Intern– Efficient GenAI for Connected Mobility
V
V2Soft
📍 Mountain View, California, United States
Job Description
Job Description:
Client is seeking a PhD student in Computer Science, Electrical Engineering, Mechanical Engineering, or a related engineering discipline to work on resource-efficient Gen-AI solutions for connected and intelligent mobility services
What you’ll be doing
Research and prototype resource-efficient Gen-AI models for mobility applications
Explore communication-efficient AI techniques for edge–cloud and VX environments
Develop semantic and context-aware AI services for connected vehicles and infrastructure
Requirements:
Currently pursuing a in Computer Science, Electrical Engineering, Mechanical Engineering, or a related engineering discipline with a focus on AI / machine learning
Strong background GenAI concepts and tools
Prior experience with implementing or experimenting LLM-based solutions
Proficient programming skills in Python and common libraries (, TensorFlow,...
Client is seeking a PhD student in Computer Science, Electrical Engineering, Mechanical Engineering, or a related engineering discipline to work on resource-efficient Gen-AI solutions for connected and intelligent mobility services
What you’ll be doing
Research and prototype resource-efficient Gen-AI models for mobility applications
Explore communication-efficient AI techniques for edge–cloud and VX environments
Develop semantic and context-aware AI services for connected vehicles and infrastructure
Requirements:
Currently pursuing a in Computer Science, Electrical Engineering, Mechanical Engineering, or a related engineering discipline with a focus on AI / machine learning
Strong background GenAI concepts and tools
Prior experience with implementing or experimenting LLM-based solutions
Proficient programming skills in Python and common libraries (, TensorFlow,...