Role overview
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.
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.
Job Description / Responsibilities
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.
Key Experience Areas
Solid background in 3D computer vision, including reconstruction and geometry fundamentals.
Experience with segmentation, human detection, and 2D/3D pose methods for real-time applications.
Hands-on development of deep learning models (PyTorch/TensorFlow) and practical ML pipelines.
Familiarity with multimodal vision-language models and applying them to perception tasks.
Strong coding skills in Python and C++ for production and on-device implementation.
Experience with on-device optimization (quantization, acceleration, profiling) on mobile or embedded platforms.
What we're looking for
- Bachelor's degree in Computer Science, Engineering, Information Systems, or related field and 2+ years of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience.
OR
Master's degree in Computer Science, Engineering, Information Systems, or related field and 1+ year of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience.
OR
PhD in Computer Science, Engineering, Information Systems, or related field.
- 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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