Meta's Reality Labs is developing the future of Augmented and Virtual Reality, aiming to transform entertainment and social experiences by creating products that connect people through immersive technologies like photorealistic Codec Avatars. The Extended Reality Technology (XRTech) team's mission is to accelerate the transition of innovative technologies into production-ready user experiences by providing robust platforms and tools.
Requirements
- 7+ years of experience in one or more of the following areas: computer graphics or image processing or character systems
- Experience with Virtual Reality, Mixed Reality and/or Augmented Reality
- Machine Learning Graphics experience
- Have developed or modified a character system for games or entertainment
- Hands-on experience in C++, C-Sharp, and/or Python
- Significant experience with technical transfer from Research & Development teams
Responsibilities
- Accelerate tech transfer from Codec Avatars R&D teams to the end-to-end systems that we evaluate internally and ship.
- Design and build tooling and reusable components that empower teams to iterate rapidly and build intuition and confidence on technical viability of novel algorithms
- Design and build reference applications used to evaluate our production stack in anticipation of future hardware and software systems
- Effectively communicate to leadership team and the industry partners complex features & systems
- Understand industry and Meta wide technology trends in computing technology to help assess & develop new technologies within the Reality Labs family
- Suggest, collect and synthesize requirements and create an effective feature roadmap towards mobile, AR and VR product lines
- Invent next-generation platforms to deliver more compelling avatar experiences on VR and AR headsets
Other
- Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
- Experience in driving cross-functional partnerships, working across functions to drive solutions
- Master’s degree in Computer Science, Mathematics or related technical field
- Experience with human vision science
