Additionalinformation

Additional Information

Equal Opportunity Employer, including disability / veterans

*Bosch adheres to Federal, State, and Local laws regarding drug-testing. Employment is contingent upon the successful completion of a drug screen and background check. Candidates who have been offered the position must pass both screenings before their start date.

BOSCH is a proud supporter of STEM (Science, Technology, Engineering & Mathematics)

• FIRST Robotics (For Inspiration and Recognition of Science and Technology)
• AWIM (A World In Motion)

The U.S. base salary range for this intern position is $48.00-69.00 hourly. Within the range, individual pay is determined based on several factors, including, but not limited to, type of degree, work experience and job knowledge, complexity of the role, type of position, job location, etc. Your Hiring Manager can share more details about the specific salary range for this position during the interview process.

For more information on our culture and benefits, please visit:

Culture and Benefits | Bosch in the USA

All your information will be kept confidential according to EEO guidelines.

Companydescription

Company Description

The Bosch Research and Technology Center North America with offices in Sunnyvale, California, Pittsburgh, Pennsylvania, and Cambridge, Massachusetts is a part of the global Bosch Group (www.bosch.com), a company with over 70 billion euro revenue, 400,000 employees worldwide, a very diverse product portfolio, and a history spanning over 125 years. The Research and Technology Center North America (RTC-NA) is dedicated to providing technologies and system solutions for various Bosch business fields, primarily in the field of artificial intelligence, energy technologies, internet technologies, circuit design, semiconductors and wireless, as well as advanced MEMS design. As a part of the global research, our AI research in Silicon Valley focuses on Foundation Models, Big Data Visual Analytics, Explainable AI (XAI), Natural Language Processing, Computer Vision & Mixed Reality, Cloud Robotics, Data Science, AI System Engineering, Time-series Analysis. We develop scalable, intelligent, and trustworthy AIoT solutions for Bosch products and services in application areas such as automated driving, advanced driver assistance systems (ADAS), robotics, smart manufacturing, enterprise AI, health care, smart home and building solutions. Originating from the AI research in Silicon Valley, our Intelligent Autonomous Systems group is responsible for enabling future autonomous Bosch products by pushing the boundaries of automated driving, advanced driver assistance systems (ADAS), robotics and automation through key innovations that encompass system architecture and AI components. These include methods for motion planning, high level task planning and decision making as well as systems for making these technologies work on real products by building frameworks that take advantage of technologies in the field of reliable distributed computing. We work with internal partners of different Bosch business units to transfer our solutions into future products. We also actively collaborate with leading groups in academia and industry to promote research ideas and publish research findings in internationally renowned conferences and journals such as CVPR, ICRA, IROS, RSS, NeurIPS and CoRL.

Jobdescription

Job Description

As the Robotics Manipulation intern, you will advance Bosch's capabilities in robotic manipulation, specifically in the area of agentic robotics (coding agents for robotics manipulation).

A few of your responsibilities will include:

• Research the state-of-the-art in agentic robotics. * Evaluate this research on a realistic, industrial Bosch use case. * Develop improvements to make these techniques practical. * Report experimental results and prepare a draft to a high-quality conference.

Qualifications

Basic Qualifications:

• Ph.D. or Masters student in Computer Science, Robotics or related fields. (Must be a current student.)
• Experience using agents, e.g. Anthropic Claude Code or OpenAI Codex.
• Experience implementing algorithms on robotic arms, humanoids, or quadrupeds.
• Proficient in Python and C++, with experience using Ubuntu and ROS2.
• Minimum GPA of 3.0.

Preferred Qualifications:

• Experience applying large generative multi-modal models, VLAs, VLMs, or LLMs to robotics problems.
• Familiarity with simulation and motion planning suites (e.g., NVIDIA Isaac Sim, cuRobo).
• Experience with perception models (e.g., SAM/SAM2, DINOv2) and spatial representation (e.g., Gaussian Splatting, NeRFs).
• Publication record in top venues, such as ICRA, IROS, CoRL, RSS, etc.
• Focus on embodiment transfer, learning from demonstration, and/or semantic scene understanding.
• Able to work independently, has strong research and problem-solving skills.
• Good communication and teamwork skills.