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Qualcomm Engineer for Computer Vision and Machine Learning – Extended Reality (XR) R&D - Remote location in Austria in Austria - Remote, Austria


Qualcomm Austria RFFE GmbH

Job Area:

Engineering Group, Engineering Group > Software Engineering

General Summary:

At Qualcomm XR labs Europe, 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 the intelligent perception of the world around us. The Qualcomm XR Labs Europe is rapidly expanding and seeking innovators who will create the new digital world. We’re hiring at any of the XR Labs Europe locations in Austria, France, Netherlands and Spain.

Qualcomm is redefining the connected, intelligent edge with exciting new products for Augmented Reality (AR) and Virtual Reality (VR). We are a world-class engineering organization developing state-of-the-art computer vision, deep learning, and graphics solutions to deliver ultra-optimized, power-efficient software and hardware to enable the intelligent perception of the world around us.

To scale and strengthen our offering in this domain, Qualcomm XR team in Europe is rapidly expanding and 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.

Available XR engineering locations in Austria, France, Netherlands and Spain.

Job Description / Responsibilities

Candidates bring a deep understanding of computer vision and machine learning algorithms and technologies that are necessary building blocks of interactive, real-time, and immersive systems, including SLAM, 3D pose tracking, 3D scene understanding, human pose tracking, sensor fusion and mathematical optimization. They also have experience in systems design and implementations for real-time embedded and mobile platforms.

  • Be part of a world-class XR team researching and developing mobile Augmented and Virtual Reality enabling technology

  • Development of efficient and accurate computer vision and machine learning solutions for XR perception tasks

  • Understand and analyze requirements for perception systems for XR platforms

  • Collaborate across functional boundaries in defining architecture, APIs, design and schedule

  • See your design in action on industry-leading chips embedded in the next generation of AR and VR devices, smartphones, and robotics

Must have experience

Strong understanding of 3D computer vision methods and mathematics, covering one or more of the following areas:

  • SLAM, tracking and registration, 3D scene understanding, human pose estimation, sensor fusion, mathematical optimization

  • And/or strong understanding of machine learning algorithms and deep networks used in these areas

  • Experience with Augmented/Virtual Reality devices and applications

  • C++ experience

  • Experience using machine learning toolboxes (e.g. PyTorch, TensorFlow, or Caffee)

  • 3+ years of industry experience is required

Preferred experience

  • Experience in software development, incl. testing and debugging on XR devices, mobile platforms or other embedded systems

  • Excellent C++ and object-oriented programming

  • Real-time Computer graphics

Required education

  • Master with 3 years of industry experience or PhD in Computer Science, Computer Engineering or Electrical Engineering

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*References to a particular number of years experience are for indicative purposes only. Applications from candidates with equivalent experience will be considered, provided that the candidate can demonstrate an ability to fulfill the principal duties of the role and possesses the required competencies.

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EEO Employer: Qualcomm is an equal opportunity employer; all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or any other protected classification.

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