Staff XR Software Engineer

 
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 SoCs.

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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