Location
Mountain View
Job Type
Full-time
Posted
July 08, 2026
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,...
Ready to Apply?
Submit your application for Summer Intern– Efficient GenAI for Connected Mobility at V2Soft
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