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Oculus VR · 2 days ago

Research Engineer - On-Device Contextual AI

Sunnyvale, CA

Full-time

Onsite

Senior Level

5+ years exp

Oculus VR, a part of Meta, is focused on building technologies that help connect people and create immersive experiences. The Research Engineer will adapt and deploy advanced algorithms for smart glasses, collaborating with various teams to implement prototypes and debug complex system issues.

3D TechnologyArtAugmented RealityConsumer ElectronicsDigital EntertainmentSoftwareVideo GamesVirtual RealityVirtualization

Growth Opportunities

Responsibilities

Plan and execute engineering development to advance the state-of-the-art in machine perception research for Contextual AI, both on-device and on back-end

Collaborate closely with researchers, engineers, and product managers across multiple teams at Meta to design, architect and implement prototypes

Debug complex, system-level, multi-component issues that typically span across multiple layers from sensor to application

Lead major initiatives, projects, rollouts and phased releases

Qualification

C++PythonMachine perceptionComputer vision algorithmsEmbedded systemsLow-level programmingCloud edge computingDebuggingPrototypingEnd-to-end system delivery

Required

Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience

Master's degree in Computer Engineering, Computer Science, or Electrical Engineering and Computer Sciences or equivalent practical experience

5+ years of experience working in large scale C++ and Python code base

4+ years of experience in developing and prototyping machine perception

Experience in implementing computer vision algorithms for efficient execution on embedded systems

Demonstrated examples of delivering an end-to-end system rather than a single component

Preferred

Experience developing, debugging, and shipping software products on large code bases that span platforms and tools

Experience with low-level programming (DSPs, MCUs, etc) and mobile accelerators

Experience with device to cloud low latency applications

Experience with cloud edge computing

Experience in zero-to-one blank slate projects

Doctor of Philosophy (Ph.D.) in Computer Engineering, Computer Science, or Electrical Engineering and Computer Sciences or equivalent practical experience