Driving Foundations Research Intern

Bosch

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Work type
On-site
Location
Sunnyvale, CA
Employment
Intern
Posted
7 days ago
Freshness
Confirmed live today

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Similar $183k
$110k $257k
below market most similar roles pay here above market

This listing doesn't post a salary. Most similar roles pay $123,881–$242,825.

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About Bosch

Bosch is a global engineering and technology company supplying mobility solutions, industrial technology, consumer goods, and energy and building technology; Robert Bosch LLC is its North American arm.

Bosch currently has 75 open roles on FindRole.

Listed pay typically runs $165,000–$185,000 across 33 roles with salary data.

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At a glance

TL;DR · Driving Foundations Research Intern

The Driving Foundations Research Intern joins the Intelligent Autonomous Systems group to advance autonomous driving, robotics, and automation. Working with experienced researchers, the intern conducts novel research on topics such as autonomous end-to-end world action models, planning under uncertainty, and road user behavior modeling. Key responsibilities include developing research prototypes, analyzing experimental results, and publishing findings in top-tier venues like CVPR and NeurIPS. The role requires proficiency in Python and modern AI/ML frameworks to build systems for motion planning and decision making. The work addresses technical challenges in mobility, specifically focusing on autonomous parking and driving through methods like reinforcement learning, self-play, and foundation model distillation. Candidates must possess a strong research background in computer vision, machine learning, or robotics.

What you'll do

  • Conduct novel research in end-to-end (E2E), distillation, and reinforcement learning (RL) methods.
  • Develop research prototypes to demonstrate innovative ideas and technical solutions.
  • Analyze experimental results to identify opportunities for scientific innovation.
  • Publish research outcomes in top-tier AI and robotics conferences and journals.
  • Present research findings through technical reports, publications, and presentations.
  • Model road user behavior and multi-modal trajectories using vision and priors.
  • Implement planning and decision-making systems under uncertainty and noise.

What we're looking for

  • Currently enrolled in a Ph.D. or Master's program in Computer Science, Computer Engineering, Electrical Engineering, AI, Robotics, or a related field.
  • Maintain a minimum GPA of 3.0.
  • Possess a strong research background in autonomous driving, robotics, computer vision, machine learning, or related areas.
  • Have research experience in post-training, reinforcement learning, self-play, and end-to-end systems.
  • Have experience developing AI and robotics systems using modern frameworks and ecosystems.
  • Possess strong programming skills in Python and experience with modern AI/ML frameworks.
  • Have experience conducting independent research, designing experiments, and analyzing results.
  • Possess strong written and verbal communication skills for a collaborative research environment.

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