Machine Learning and Computer Vision Engineer, Qualcomm

• Strong understanding of 3D computer vision methods and mathematics, covering one or more of the following areas:
• Good understanding of machine learning algorithms and deep networks used in these areas
• Enthusiasm in engineering the machine learning pipelines and making contribution ranging from model implementation to on-device optimization and testing
• Experience in C++ and Python
• Experience using machine learning toolboxes (e.g. PyTorch, TensorFlow, or Caffee)
• Excited about this role, but not sure if you meet 100% of the criteria? We would still like to hear from you and would welcome your application
• Master’s degree in Computer Science, Computer Engineering or Electrical Engineering, or other related programs

Desirable

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