Autonomous Systems AI Intern (PhD) - Connected Driving World Models

Tekwissen

Mountain View, CA

JOB DETAILS
SKILLS
Analysis Skills, Artificial Intelligence (AI), Autonomous Driving Systems, Computer Science, Deep Learning, Diversity, Electrical Engineering, Machine Learning, Mechanical Engineering, Python Programming/Scripting Language, Simulation
LOCATION
Mountain View, CA
POSTED
2 days ago

This is a temporary, onsite internship for a PhD student in Computer Science, Electrical Engineering, Mechanical Engineering, or related fields, focused on developing AI World Models for connected and automated driving systems.

  • The intern will develop and evaluate AI models, including generative and latent-space approaches like diffusion and VAE-style models.
  • They will conduct experiments using simulation platforms such as CARLA and analyze real-world driving data.
  • Required qualifications include current PhD enrollment, strong machine learning and deep learning skills, proficiency in Python and relevant libraries (TensorFlow, Pytorch), and experience with simulation tools.
  • The role involves research activities like problem definition, data utilization, and presenting findings.
  • Work location is Mountain View, CA, with a duration of 4 months. TekWissen is an equal opportunity employer supporting workforce diversity.

About the Company

T

Tekwissen

WE THE TEKWISSEN PEOPLE

TekWissen offers you a broader portfolio of services, industry-leading solutions, and the meaningful innovations that give you greater flexibility and speed to respond to market dynamics, reduced costs and risk to improve enterprise performance, and increased productivity to enable growth.

To keep pace with global market demands, TekWissen keeps its finger on the pulse of change. Our organized approach to guiding a project from its inception to closure. Managing projects is becoming more and more important as we enter the digital era. To cope with the pace that this transition demands, a method is required to manage projects so they can yield quality work, while incorporating efficient use of time and resources.

Project involves identifying which quality standards are relevant to the project and determining how to satisfy them.

It is important to perform quality planning during the Planning Process and should be done alongside the other project planning processes because changes in the quality will likely require changes in the other planning processes, or the desired product quality may require a detailed risk analysis of an identified problem. It is important to remember that quality should be planned, designed, then built in, not added on after the fact.

Capabilities and accomplishments in one TekWissen business enhance the opportunity for success in the others. Put simply, TekWissen's unique combination of attributes promotes success.



COMPANY SIZE
100 to 499 employees
INDUSTRY
Computer/IT Services
FOUNDED
2009
WEBSITE
http://www.tekwissen.com/