Job Information
Qualcomm XR Systems Validation Lead - SLAM and Computer Vision Specialist in Bangalore, India
Company:
Qualcomm India Private Limited
Job Area:
Engineering Group, Engineering Group > Systems Engineering
General Summary:
General Summary:
At Qualcomm XR, we’re 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 computer vision, deep learning, and graphics solutions to deliver ultra-optimized, power-efficient software and hardware to enable exceptional experience for users.
To scale and strengthen our offering in this domain, Qualcomm XR Research team in Bengaluru is seeking candidates to investigate and develop the fundamental perception systems enabling self-contained XR platforms. We look for innovators who will push the boundaries of mobile perception technology to offer a comprehensive platform to our customers.
Job Description / Responsibilities:
Candidates should bring a good understanding of computer vision and sensor fusion algorithms and technologies that are necessary building blocks of interactive, real-time, and immersive systems, including SLAM, Inertial navigation, and 3D pose tracking. They should also have experience in systems design and implementations for real-time embedded and mobile platforms.
Be part of a world-class XR team researching, developing and validating AR/VR/XR technology
Validate power-efficient computer vision and navigation algorithms for AR/VR/XR products
Support product teams for commercialization, through system validation, performance profiling and benchmarking.
Enhance existing infrastructure for validation of perception algorithms
Required qualifications:
Good understanding of Visual Inertial odometry and SLAM systems, Computer Vision, etc.
Strong mathematical and analytical skills
Strong knowledge of Python and data handling libraries (NumPy, pandas, etc.)
Preferred qualifications:
Experience in AR/VR/XR perception and/or automotive perception is desired
Exposure to rendering and related artifacts
Exposure to robotic arms, motion capture cameras, etc.
Educational requirements:
Required: Bachelor’s in Computer science or Electrical & Computer Engineering
Preferred: Master’s in Computer science or Electrical & Computer Engineering
Minimum Qualifications:
•Bachelor's degree in Engineering, Computer Science, or related field and 10+ years of Systems Validation or related work experience.
OR
Master's degree in Engineering, Computer Science, or related field and 8+ years of Systems Validation or related work experience.
Keywords
Virtual reality, Augmented reality, machine vision, computer vision, IMU, sensor fusion, inertial navigation, 3D reconstruction
Minimum Qualifications:
• Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 3+ years of Systems Engineering or related work experience.
OR
Master's degree in Engineering, Information Systems, Computer Science, or related field and 2+ years of Systems Engineering or related work experience.
OR
PhD in Engineering, Information Systems, Computer Science, or related field and 1+ year of Systems Engineering or related work experience.
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