Staff XR Systems Engineer

QualcommSan Diego, CA
Onsite

About The Position

Multimodal perception and reasoning is shaping the recent advances in eXtended Reality systems. Qualcomm's XR Labs team is seeking a skilled C++ Computer Vision engineer to evaluate, prototype, and optimize advanced algorithms for XR use cases. An ideal candidate will be responsible for researching, evaluating and 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 SW engineers as power-efficient implementation is being further optimized and integrated into our XR framework.

Requirements

  • 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.
  • Strong performance in modern C++ programming with a focus on performance (5+ years of experience)
  • Extensive expertise in machine learning with focus on Computer Vision; knowledge of and hands-on experience with relevant Python packages (5+ years)
  • Experience developing embedded systems software and solutions (1+ years)

Nice To Haves

  • experience with embedded audio processing and workloads
  • experience developing distributed compute software and solutions
  • experience developing on Android

Responsibilities

  • Evaluate published algorithms related to XR use cases, 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 optimized design and the fit in the E2E system.
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