Summer Intern Connected Driving Models

Position: Summer Intern  Connected Driving World Models
Summer Intern– Connected Driving World Models
Are you looking to work for a company that provides an innovative work environment, and your voice is heard? We have a position for a Summer Intern– Connected Driving World Models to work onsite at our client in Mountain View, CA
Who we are:
LER Tech Force is an industry leader in embedded controls, software, functional safety, and engineering talent. For over 20 years LER has been working with customers across North America to meet their engineering resource challenges. Learn more about us
What you will be doing:
Our Client is seeking a PhD student in Computer Science, Electrical Engineering, Mechanical Engineering, or a related engineering discipline to work on Connected Driving World Models.
What you'll be doing:

• Develop and evaluate AI World Models for connected and automated driving systems.
• Explore generative and latent-space models (e.g., diffusion, VAE-style world models).
• Conduct experiments in simulations and/or logged real world driving data.

What you'll need to be successful:
Essential:

• Currently pursuing a Ph.D. in Computer Science, Electrical Engineering, Mechanical Engineering, or a related engineering discipline with a focus on AI / machine learning.
• Strong background in Machine Learning and Deep Learning.
• Experience with simulation platforms such as CARLA.
• Proficient programming skills in Python and common libraries (e.g., Tensor Flow, Pytorch, etc.).
• Ability to engage in general research activities such as defining problems and issues to be addressed, finding, and using research data, and being able to make recommendations and findings in writing and presentations.