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Qualcomm

SLAM Engineer - XR Labs Europe - Austria (Salzburg or Vienna)

Qualcomm
Austria · Full-time · Not Applicable

Company

Qualcomm Austria RFFE GmbH

Job Area

Engineering Group, Engineering Group > Multimedia Systems

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

Location: Austria (Salzburg or Vienna office)

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

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

  • 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


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, incl. 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


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.


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. You may e-mail [email protected] or call Qualcomm's toll-free number found here. Upon request, Qualcomm will provide reasonable accommodations to support individuals with disabilities to be able participate in the hiring process. Qualcomm is also committed to making our workplace accessible for individuals with disabilities. (Keep in mind that this email address is used to provide reasonable accommodations for individuals with disabilities. We will not respond here to requests for updates on applications or resume inquiries).

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.

To all Staffing and Recruiting Agencies: Our Careers Site is only for individuals seeking a job at Qualcomm. Staffing and recruiting agencies and individuals being represented by an agency are not authorized to use this site or to submit profiles, applications or resumes, and any such submissions will be considered unsolicited. Qualcomm does not accept unsolicited resumes or applications from agencies. Please do not forward resumes to our jobs alias, Qualcomm employees or any other company location. Qualcomm is not responsible for any fees related to unsolicited resumes/applications.

If you would like more information about this role, please contact Qualcomm Careers.

Key Skills

Ranked by relevance

computer vision machine learning 3d embedded deep learning pytorch cicd
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Posted
May 21, 2026
Type
Full-time
Level
Not Applicable
Location
Salzburg
Company
Qualcomm

Industries

Semiconductor Manufacturing

Categories

Other

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