Computer Vision Engineer IV

Contract: 06 Months+

Summary:

  • We need applied research candidates, candidates with key projects on the resume which indicates strong C++ coding skills and strong CV and Image processing background. Also I am looking for evidence in the resume for long-term project contribution, our CW work is not a collection of small tasks, it is more of longer term project.
  • Client mission is to give people the power to build community and bring the world closer together. Our global teams are constantly iterating, solving problems, and working together to empower people around the world to build connections in meaningful ways. Together, we can help people build stronger communities — we're just getting started.
  • Client focuses on connecting people through Virtual Reality (VR) and Augmented Reality (AR). The compute performance and power efficiency requirements of these products require custom silicon. The client team is driving the state of the art forward with breakthroughs in computer vision, machine learning, mixed reality, graphics, displays, sensors, and new ways to map the human body. We believe the only way to achieve our goals is to look at the entire stack, from transistors, through architecture, to firmware, and algorithms.

Job Responsibilities:

  • Study state of the art algorithms in the field of CV, ML, Imaging, Audio to develop appropriate SW-HW partitioning.
  • Develop and debug software in a real-time, embedded, multiprocessor, multi-interface environment.

Minimum Qualification:

  • Bachelor’s degree in electrical engineering, computer science or equivalent relevant experience.
  • 5+ years of experience designing and implementing complex real-time systems using C/C++ for embedded processors.
  • 5+ years of experience in software development for imaging and CV algorithms or related signal processing fields.
  • Solid C/C++ programming and refactoring skills and able to understand and debug heavily threaded code.

Preferred Skills:

  • MS or PhD in EE/CS
  • Theoretical knowledge in the field of computer vision, machine learning, and image processing, or ISP sensors.
  • Experience with low-level SW optimization at instruction level, loop optimization, vectorization, data organization and caching
  • Theoretical knowledge of Audio pipeline and algorithms: capture, render, codecs.
  • Experience in development of imaging and CV or related signal processing algorithms (e.g. OpenCV, Eigen, Halide, Game physics and 3D graphics, CODECs, or Communication)
  • Prior experience with ARM or Risc-V CPUs, or Tensilica DSP architectures