6 days ago

Autonomous Driving Intern

Bosch USA

On Site
Intern
$135,200
Sunnyvale, CA
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Job Overview

Job TitleAutonomous Driving Intern
Job TypeIntern
Offered Salary$135,200
LocationSunnyvale, CA

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Job Description

About Bosch Research and Technology Center North America

The Bosch Research and Technology Center North America (RTC-NA) is part of the global Bosch Group. With offices in Sunnyvale, California, Pittsburgh, Pennsylvania, and Cambridge, Massachusetts, RTC-NA focuses on advanced technologies in artificial intelligence, energy, internet technologies, circuit design, semiconductors, and MEMS. Our AI research in Silicon Valley is at the forefront of Foundation Models, Big Data Visual Analytics, Explainable AI (XAI), Natural Language Processing, Computer Vision & Mixed Reality, Cloud Robotics, Data Science, AI System Engineering, and Time-series Analysis. We create scalable, intelligent, and trustworthy AIoT solutions for diverse Bosch products and services, including automated driving, ADAS, robotics, smart manufacturing, enterprise AI, healthcare, and smart home solutions. Our Intelligent Autonomous Systems group, originating from our AI research, is dedicated to advancing automated driving, ADAS, robotics, and automation. We drive innovation in system architecture and AI components, developing methods for motion planning, high-level task planning, and decision-making. We build frameworks leveraging reliable distributed computing to deploy these technologies in real-world products. We collaborate with internal Bosch business units for product integration and partner with leading academic and industrial groups, publishing our findings in top-tier conferences and journals like CVPR, ICRA, IROS, RSS, NeurIPS, and CoRL.

Job Description: End-to-End Autonomous Driving Intern

As an intern focused on End-to-end Autonomous Driving, you will:
  • Design, implement, and debug E2E planners, ensuring geometrically valid paths that adhere to vehicle dynamics.
  • Collaborate with mentors and team members to refine research goals, discuss technical challenges, and explore extensions like closed-loop fine-tuning and RL integration.
  • Regularly report research progress through meetings, written updates, and technical presentations.
  • Analyze experimental results, document methodologies, and summarize findings in clear, reproducible formats.
  • Contribute to the preparation of research papers, technical reports, or potential submissions to top conferences.

Qualifications

Basic Qualifications
  • Ph.D. student in Computer Science, Robotics, or a related field (must be a current student).
  • Hands-on experience developing efficient algorithms for autonomous driving, robotic navigation, or planning.
  • Solid Python skills, proficient with libraries such as PyTorch.
  • Proficiency with RL platforms.
  • Minimum GPA of 3.0.
Preferred Qualifications
  • Publication record in top venues such as CVPR, ICCV, ECCV, ICLR, ICRA, and IROS.
  • Familiarity with CARLA or NavSim.
  • Ability to work independently with strong research and problem-solving skills.
  • Good communication and teamwork skills.

Additional Information

The U.S. base salary range for this intern position is $39.00 - $64.00 per hour. Actual pay depends on factors like degree, experience, job complexity, location, and role type. Your Hiring Manager will provide more specific salary details during the interview process. BOSCH is a proud supporter of STEM Initiatives, including FIRST Robotics and AWIM. Bosch is an Equal Opportunity Employer, including disability/veterans. Employment is contingent upon successful completion of a drug screen and background check. Candidates must pass both screenings before their start date.

Tags:

Autonomous Driving
Robotics
Artificial Intelligence
Machine Learning
Deep Learning
Python
PyTorch
Reinforcement Learning
Algorithm Development
Computer Vision
ADAS
Ph.D. Intern
Research Intern
Bosch
Engineering Intern
Software Engineering

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How to Get Hired at Bosch USA

  • Tailor your resume: Highlight relevant algorithm development, autonomous driving, robotic navigation, planning, Python, PyTorch, and RL platform experience. Emphasize your current Ph.D. student status and GPA.
  • Showcase research experience: Detail any publication record in top AI/Robotics venues (CVPR, ICRA, etc.) or experience with CARLA/NavSim.
  • Prepare for technical interviews: Be ready to discuss algorithm design, debugging E2E planners, and your understanding of autonomous driving systems.
  • Demonstrate research aptitude: Prepare to discuss your problem-solving skills, ability to work independently, and your interest in contributing to research papers and presentations.
  • Highlight collaboration skills: Showcase your communication and teamwork abilities, essential for working with mentors and team members.

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