Robot Learning Engineering Intern

Company Description

We Are Bosch.

At Bosch, we shape the future by inventing high-quality technologies and services that spark

enthusiasm and enrich people's lives. Our areas of activity are every bit as diverse as our outstanding

Bosch teams around the world. Their creativity is the key to innovation through connected living,

mobility, or industry.

Let's grow together, enjoy more, and inspire each other. Work #LikeABosch

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* Discover new directions:
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* Shape tomorrow:
At Bosch, you change lives.

The Bosch Research and Technology Center North America - with offices in Pittsburgh, Pennsylvania, Sunnyvale, California, and Cambridge, Massachusetts - is part of the global Bosch Group (), a company with over 70 billion euro revenue, 400,000 people worldwide, a very diverse product portfolio, and a history of over 125 years. The Research and Technology Center North America (RTC-NA) is committed to providing technologies and system solutions for various Bosch business fields primarily in the areas of Robotics, Human Machine Interaction (HMI), Energy Technologies, Internet Technologies, Circuit Design, Semiconductors and Wireless, and MEMS Advanced Design.

The Robot Learning Lab at Bosch Research Pittsburgh focuses on developing autonomous systems that learn safe, robust, generalizable, and transferable representations of the world and are therefore capable of acquiring, adapting, and improving their own skills/behaviors when deployed to diverse scenarios. Specifically, we develope technologies related to dexterous manipulation for manufacturing, robot foundation models, cross-embodiment learning, agentic robot control frameworks, and human / robot data collection systems.

Job Description

The Robot Learning Lab at Bosch Research Pittsburgh invites skilled robotics engineers for research and development at the intersection of robotics systems, telemetry / sensor data capture, and machine learning. The role will work closely with internal teams of robotics research scientists, research engineers, and research interns; the role will focus on mocap/teleoperated data-collection, robotics hardware management, robotics station-building, and machine learning engineering - particularly for constructing high-quality datasets that will be used for training robot foundation models, such as Vision Language Action models (VLAs).

Prospective colleagues with gaming backgrounds and/or strong experience with AR/VR/XR systems are highly preferred.

Tasks

* Operate robot teleoperation systems to guide robots through designated tasks, with a careful consideration about smooth, high-quality, and task-relevant motion-capture.

* Perform manipulation tasks in extended reality (XR), to produce data that captures meaningful object interactions.

* Coordinate with the ML team to plan data collection, manage machine availability, and adapt to changing priorities.

* Apply systems instincts to identify mechanical inconsistencies, behavioral anomalies, UX gaps, and workflow issues.

* Ensure safe operation of all robotics systems, adhering to protocols for both human and machine safety.

* Leverage and extend existing robot operation procedures, ensuring safe operation of all robotics systems and adhering to protocols for both human and machine safety.

* Work with team to produce high-quality experiments for academic publications and industrial deployments; support team in drafting publications, invention reports, and technical reports.

Qualifications

Required

Qualification:

* Currently pursuing a Masters degree in Robotics, Machine Learning, Computer Engineering, or related

* Minimum 3.0 GPA

* 3+ years in testing or using interactive systems (games, simulations, robotics, or related)

* Familiarity with VR environments and/or game/simulation testing workflows

* Proficiency with bug tracking tools (e.g, Jira or related).

Desired

Qualification:

* Background in Robot Learning, Robotics, or Embodied AI research and development;

* Ability…