Robotics AI Intern

Pittsburgh, PA, United States

Internship Entry-level / Junior

Bosch Group

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Company Description

The Bosch Research and Technology Center North America with offices in Sunnyvale, California, Pittsburgh, Pennsylvania 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 Human Machine Interaction (HMI), Robotics, Energy Technologies, Internet Technologies, Circuit Design, Semiconductors and Wireless, and MEMS Advanced Design.

The two research groups at RTC-NA: Wireless connectivity & sensing (WCS), and Intelligent Internet of Things (IIoT) are currently working together with external partners to develop smart docking software for future lunar rovers as part of NASA funded project. The project team is looking for enthusiastic graduate student interns to work on product oriented research. We seek an ideal candidate with good theoretical background and strong desire for practical implementation in the area of multi-sensor fusion (camera, IMUs, wireless) in the context of autonomy/robotics applications.

Job Description

  • Phase 1: Bring-up the overall system with all required hardware and software components
  • Phase 1: Develop novel localization solution by fusing sensor data from cameras, IMUs and on board wireless
  • Phase 1: Design and develop embedded software to implement proof of concept demo of robot navigation
  • Phase 2: Testing environment setup and integrate wireless charging solution to the developed prototype
  • Phase 2: Optimize Phase 1 navigation solution including wireless charging indicators as additional sensing input
  • Phase 3: Robust communication methods between lander and rover wireless charging units
  • Phase 3: PoC demo for smart docking incl. localization, navigation and positioning for optimal wireless charging
  • All phases: Conduct performance analysis & feasibility studies using simulations, experiments, analytical modeling
  • All phases: Documentation, reports, and if applicable, publish research work in the form of patents/papers


Required Qualification:

  • MS/PhD Student in Computer Science or Electrical Engineering
  •  Experience of working with mobile robotic applications, localization algorithms, modeling, tracking, navigation, and path planning techniques
  • Experience with multi sensor fusion techniques
  • Strong C and Python programming skills, embedded programming experience is a big plus

Desired Qualification:

  • Experience in computer vision, wireless communication, signal processing and machine learning.
  • Experience in using different machine learning libraries and tools (e.g. TensorFlow)
  • Experience with visual odometry will be a plus

Additional Information

Duration: 3-6 months.

This position supports a US Government contract, and as such requires to be on-site (no remote work) and is only open to US citizens, US Permanent residents or citizens of Country Group A:5 [Argentina, Australia,, Austria, Belgium, Bulgaria, Canada, Croatia, Czech Republic, Denmark, Estonia, Finland, France, Germany, Greece, Hungary, Iceland, India, Ireland, Italy, Japan, South Korea, Latvia, Lithuania, Luxembourg, Netherlands, New Zealand, Norway, Poland, Portugal, Romania, Slovakia, Slovenia, Spain, Sweden, Switzerland, Turkey, United Kingdom]

By choice, we are committed to a diverse workforce - EOE/Protected Veteran/Disabled.

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

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

Tags: Circuit Design Computer Science Computer Vision Engineering Human Machine Interaction Machine Learning Mathematics PhD Python Research Robotics STEM TensorFlow Testing

Region: North America
Country: United States
Job stats:  28  3  0
Category: Deep Learning Jobs
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