Optical Engineer, Eye Tracking

About XR Lab

Tencent XR Lab is a creative team dedicated to exploring future XR technologies. You will work with a team of world-class researchers and engineers to build the next generation of hardware and software to bring new user experiences to VR/AR/XR products.

Location: Palo Alto, CA / Bellevue, WA

Responsibilities: 

• Lead the design and the development of the eye tracking system used for next generation AR/VR products.
• Define the eye tracking requirements based on the need of the AR/VR/MR user experiences; Translate requirements to sensing HW specifications and down-select the solutions for products.
• Lead and collaborate with internal or external partners to develop optical technologies and sensing HW to meet eye tracking needs.
• Bring up, calibrate, test and evaluate the eye tracking prototypes; Define test plans and review results as part of cross-team collaborations.
• Design and implement metrics to quantify performance quality of the eye tracking subsystem.
• Collaborate and routinely present technical data to cross functional audiences.

Minimal Qualifications:

• Bachelor’s or above degree in Optics, Optical Engineering, EE or other related fields.
• 2 years of optical engineering experiences in designing, developing and characterizing the eye tracking technologies and products
• 3 years of experiences in designing and developing the imaging sensing hardware for consumer products
• Hands-on experience setting up and characterizing optical sensing systems in a lab setting
• Knowledge and experience with lasers, LEDs, drivers and common optical components
• Proficient with programming languages such as Matlab or Python
• Strong communication skills

Preferred Qualifications:

• 3 years of experiences in developing and launching the eye tracking system for consumer products
• In-depth knowledge of eye tracking architectures, modeling, algorithm and calibration
• Experience leading cross-functional collaboration for sensing system design, manufacturing, calibration and characterization
• Experiences of managing optics and sensing vendors
• Knowledge of image processing techniques, CV algorithms and machine learning