SLAM Engineer - XR Labs Europe - Bordeaux - France

Company

Qualcomm France S.A.R.L.

Job Area

Engineering Group > Multimedia Systems

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. The Qualcomm XR Labs Europe is rapidly expanding and seeking innovators who will create the new digital world.

Location: Bordeaux, France

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, the 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.

Responsibilities

• Be part of a world‑class XR team researching and developing mobile AR and VR enabling technology
• Develop 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

Must Have Experience

• 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

Preferred Experience

• Experience in software development, including testing and debugging on XR devices, mobile platforms or other embedded systems
• Experience with CI/CD pipelines

Required Education

• Master with 2 years of industry experience or PhD in Computer Science, Computer Engineering or Electrical

Position Type

This position will be 5 days per week office based.

Minimum Qualifications

• Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 2+ years of Systems Engineering or related work experience

OR

• Master's degree in Engineering, Information Systems, Computer Science, or related field and 1+ year of Systems Engineering or related work experience

OR

• PhD in Engineering, Information Systems, Computer Science, or related field

• Works in the lab, can use hazardous chemicals (e.g., glue, machinery).
• 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.

Equal‑Opportunity Employer

Qualcomm is an equal opportunity employer. If you are an individual with a disability and need an accommodation during the application/hiring process, rest assured that Qualcomm is committed to providing an accessible process. Qualcomm is also committed to making our workplace accessible for individuals with disabilities. Qualcomm expects its employees to abide by all applicable policies and procedures, including but not limited to security and other requirements regarding protection of Company confidential information and other confidential and/or proprietary information, to the extent those requirements are permissible under applicable law.