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Job Information

Qualcomm Engineer for Computer Vision and Machine Learning (m/f/w) in Austria - Remote, Austria

Company:

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.

Overview

(Job Function/General 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, localization, mapping, 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 mapping and localization 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

Overview

(Critical “Must Have” skills/experience for role)

  • Strong understanding of 3D computer vision methods and mathematics, covering one or more of the following areas:SLAM, deep learning, mapping and localization, mathematical optimization

  • Can independently prioritize and make progress on multiple workstreams

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

  • Experience using modern deep learning toolboxes (e.g. PyTorch, TensorFlow), machine learning pipelines, model evaluation and data visualization

  • 5+ years of industry experience is required

  • Good understanding and strong knowledge in algorithms and statistics

  • Good understanding and experience in math function optimization

  • Be able to stay on top of state-of-the-art approaches

Overview

(Preferred skills/experience for role)

At least one of the points below is a must

  • Prior experience of working with AWS or Azure

  • Prior experience of working with BigData/Distributed computing in real time and offline

  • Prior experience of descriptor training, matching neural networks training, image retrieval/search task, segmentation

  • Experience of delivering reliable ML models to the production

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

  • Excellent C++ and object-oriented programming

Education

Required: Master with 5 years of industry experience or PhD with 2 years of industry experience

Computer Science, Computer Engineering, Electrical Engineering, Applied Math

Keywords

SLAM, 3D reconstruction, Localization, Virtual reality, Augmented reality, Machine vision, Computer vision, Machine learning, Deep learning.

Qualcomm is committed to hiring and supporting individuals with disabilities. Although this role has some expected physical activity, an inability to perform one or more of the listed physical requirements should not deter otherwise qualified applicants from applying. We will work with you throughout the application and onboarding process to provide reasonable accommodations. Examples of expected physical activity include: frequently transporting between offices, buildings, and campuses up to ½ mile; frequently transporting and installing equipment up to 5 lbs; performing tasks at various heights (e.g., standing or sitting); monitoring and utilizing computers and test equipment for more than 6 hours a day; and continuous communication which includes the comprehension of information with colleagues, customers, and vendors both in person and remotely.

*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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