Machine Learning​/Computer Vision Engineer XR Labs

Company: Qualcomm Technologies Netherlands B.V.
Job Area: Engineering Group, Engineering Group >
Machine Learning 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.

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.

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/Tensor Flow) and practical ML pipelines.
• Familiarity with multi-modal 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.

Preferred Experience

• Experience with Augmented/Virtual Reality devices and applications.
• Experience in development, including testing and debugging on XR devices, mobile platforms or other embedded systems.
• Experience in DSP optimizations.
• Excellent C++ and object-oriented programming.
• Real-time Computer graphics.

Required Education

• Master’s degree in Computer Science, Computer Engineering or Electrical Engineering, or other related programs.

What we offer

• Be part of a world-class XR team researching and developing mobile Augmented and Virtual Reality enabling technology.
• Understand and analyze requirements for perception systems for XR platforms.
• See your contributions on industry-leading chips embedded in the next generation of AR and VR devices, smartphones, and robotics.
• Salary, stock and performance related bonus.
• Employer-financed pension schemes.
• Employee Stock Purchase Program.
• Relocation and immigration support (if needed).
• Mentor program for intensive induction and further training opportunities.
• Subsidies for physical and mental well-being, e.g. fitness center, sports clubs, ski tickets and much more.
• Working in a modern office, located on the science park, the lively campus of the University of Amsterdam.

The company language is English, and you will work together with an international engineering team to identify our users’ needs and implement modern web applications. Therefore, communication skills and the ability to work in a team are key to success in this role.

Minimum Qualifications:

• 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,…