SLAM Engineer - XR Labs Europe - Bordeaux - France
Role details
Job location
Tech stack
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
Requirements
Do you have a Master's degree?, * 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., * Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 2+ years of Systems Engineering or related work experience., 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.