Job
Description
Job Area: Engineering Group, Engineering Group > Systems Engineering General Summary: At Qualcomm XR Perception, were a passionate team of engineers who want to change the world through virtual and augmented reality products and technologies. We develop state-of-the-art, power efficient XR perception algorithms optimized for Qualcomm hardware. The perception algorithms enable XR systems to map the users environment and track the user within the environment. 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 OR Master'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. OR Master's degree in Engineering, Information Systems, Computer Science, or related field and 1+ year of Systems Engineering or related work experience. OR PhD in Engineering, Information Systems, Computer Science, or related field.
