J-844 Engineer For Computer Vision And Machine Learning -

Company: Qualcomm Europe, Inc. Spain Branch OfficeJob Area: Engineering Group, Engineering Group > Software EngineeringGeneral 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.Responsibilities:Be part of a world-class XR team researching and developing mobile Augmented and Virtual Reality enabling technologyDevelopment of efficient and accurate computer vision and machine learning solutions for XR mapping and localization tasksUnderstand and analyze requirements for perception systems for XR platformsCollaborate across functional boundaries in defining architecture, APIs, design and scheduleSee your design in action on industry-leading chips embedded in the next generation of AR and VR devices, smartphones, and roboticsSkills/Experience:Strong understanding of 3D computer vision methods and mathematics, covering one or more of the following areas: SLAM, deep learning, mapping and localization, mathematical optimizationCan independently prioritize and make progress on multiple workstreamsStrong understanding of machine learning algorithms and deep networks used in these areasExperience using modern deep learning toolboxes#J-18808-Ljbffr