XR Perception Systems Engineer

6 days ago

Bengaluru, India Qualcomm Full time

General Summary:

To scale and strengthen our offering, Qualcomm XR Perception team in Bengaluru is rapidly expanding and seeking candidates to investigate and develop the fundamental perception algorithm that enables self-contained XR platforms. We are looking for innovators who will push the boundaries of mobile perception technology to offer a robust platform to our customers.

Job Function/General Responsibilities

In this job the candidate would:

  • Be part of a world-class XR team researching and developing XR perception
  • Work with building blocks of Simultaneous Localization and Mapping (SLAM):

o Multi-view geometry

o Sensor Fusion

o Pose estimation

o Non-linear optimization

  • Apply ML/ DL techniques to enhance accuracy and robustness of traditional SLAM systems
  • Implement efficient and optimized algorithms in C++
  • Understand and analyze requirements for perception systems for XR platforms
  • Have excellent verbal and written communication and presentation skills

Candidate that fits this role should be well versed in the basics of:

  • Linear algebra
  • Probability
  • Multi-view geometry
  • Sensor fusion
  • Estimation techniques
  • Non-linear optimization
  • Machine learning techniques
  • Object oriented programming in C++

Keywords

Virtual reality, Augmented reality, Computer vision, Machine learning, Perception, VIO, SLAM

Educational requirements:

Bachelor's degree in Engineering, Applied Mathematics, Computer Science, or related field

+3 years of work experience ORMaster's degree in Engineering, Applied Mathematics, Computer Science, or related field

Minimum Qualifications:

Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 2+ years of Systems Engineering or related work experience. ORMaster's degree in Engineering, Information Systems, Computer Science, or related field and 1+ year of Systems Engineering or related work experience. ORPhD in Engineering, Information Systems, Computer Science, or related field.

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