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2026 PhD Software Engineer Intern (Autonomous Vehicles Cloud), United States

Uber
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We’re looking for PhD candidates to intern on the Autonomous Vehicles Cloud team during summer 2026 (12 weeks). You will be embedded in our engineering team and work closely with other specialists, software developers, and product managers. As a PhD intern, you will work on an exciting yet bold problem in depth and independently, under the supervision of an experienced engineer on that team.

 

About the Team

The Autonomous Vehicles Cloud team is dedicated to accelerating the autonomous vehicles industry to L4 by serving as a premier AV data leader. Recently, we announced a partnership with NVIDIA to jointly develop a data factory for autonomous vehicle development. The team includes engineers with diverse backgrounds in embedded software, cloud computing, batch data processing, and ML research. We are looking for talent passionate about autonomous vehicles and eager to make a significant impact.

 

What You'll Do

  • Drive exciting, ambitious, previously unsolved projects from end to end
  • Develop novel algorithms that use Uber data at global scale
  • Thrive in an environment with ambiguous product requirements
  • Collaborate closely with product managers and data scientists
  • Be motivated to independently own and drive projects forward
  • Have a passion to make Uber better for our customers

 

Basic Qualifications

  • Currently enrolled in a Ph.D. program studying computer science, machine learning, data mining, artificial intelligence, constrained optimization, statistics, or a related quantitative field
  • Candidates must have at least one semester/quarter of their education left following the internship

 

Preferred Qualifications

  • Publications in top ML conferences such as CVPR, NeurIPS, ICCV, and ICLR
  • Deep understanding in computer vision and multi-modal large language models
  • Proficient in prototyping research ideas using popular deep learning frameworks
  • Knowledge of underlying technical foundations of statistics, machine learning, optimization, systems, etc.
  • Experience in one or more object-oriented languages, including C++, Java, Python, or Go
  • Ability to communicate effectively with both technical and business partners
  • Experience in simplifying/converting business problems into technical problems
  • Research mentality with a bias towards action to structure a project from idea to experimentation to prototype to implementation
  • Experience in Autonomous Vehicles related research