Company:

Qualcomm India Private Limited:

Job Area:

Engineering Group, Engineering Group > Systems Engineering

General Summary:

Novel view synthesis (free-viewpoint rendering) is being established as one of the important building blocks of modern Extended Reality (XR) systems. Qualcomm's XR Labs team is seeking a skilled C++ Computer Vision and Graphics engineer to evaluate, prototype, and optimize algorithms for Novel View Synthesis. The ideal candidate will be responsible for porting the select algorithms to a highly optimized C++ implementation and deploying them on our chipsets. The job will involve interfacing with HW, FW, and other SW engineers as power-efficient implementation is being further optimized and integrated into the XR framework. Intimate knowledge of modern C++, Computer Vision algorithms, as well as prior experience with Computer Graphics is essential for this role.

Responsibilities

• Evaluate Pytorch algorithms with an intimate understanding of performance/requirements tradeoffs.

• Port candidate pipelines to an optimized C++ implementation.

• Help integrate implementation into an existing XR framework, benchmarking the resulting performance on target So Cs.

• Contribute to the development of tools and workflows for efficient integration and testing

• Document the optimized design and its fit in the E2E system.

Job Requirements

• Strong performance in modern C++ programming with focus on optiization (5+ years)

• Extensive expertise in Computer Vision; knowledge of relevant Python packages (5+ years)

• Experience developing with OpenGL or modern graphics APIs (1+ years)

• Preferrable additional skill: prior experience developing on Embedded Systems and/or Android

Minimum Qualifications:

• Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 4+ years of Systems Engineering or related work experience. OR
  Master's degree in Engineering, Information Systems, Computer Science, or related field and 3+ years of Systems Engineering or related work experience.
  OR
  PhD in Engineering, Information Systems, Computer Science, or related field and 2+ years of Systems Engineering or related work experience.

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