SLAM Engineer

SLAM Engineer

European Tech Recruit are working closely with a multinational semiconductor R&D company, based in Amsterdam, who are looking for a talented SLAM Engineer to join their team.

In this role you will join a team redefining the connected, intelligent edge with exciting new products for Augmented Reality and Virtual Reality. They 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 as SLAM Engineer:

* 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 perception 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.

Requirements:

* MSc with 2+ years of industry experience or PhD in Computer Science, Computer Engineering or Electrical Engineering.

* Strong understanding of 3D computer vision methods and mathematics, covering SLAM and the following areas: tracking and registration, calibration, 3D reconstruction and scene understanding, pose estimation, sensor fusion, linear algebra, and nonlinear optimization.

* Strong understanding of machine learning algorithms and deep networks used in these areas.

* Experience with Augmented/Virtual Reality devices and applications.

* Solid experience in modern C++.

* Experience using machine learning toolboxes (e.g. PyTorch or TensorFlow).

* Fluency in Python.

Desirable Experience:

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

* Experience with CI/CD pipelines.

If this role is of any interest please apply directly on LinkedIn or send a copy of your CV to [email protected].

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