In this role, you will adapt and deploy advanced real-time smart glasses algorithms on custom embedded computer vision/machine learning processors. You will then make them available to an extensive internal and external user community.

MINIMUM QUALIFICATIONS:

• Currently has, or is in the process of obtaining a Bachelor’s degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience. Degree must be completed prior to joining Meta
• Master’s degree in Computer Engineering, Computer Science, or Electrical Engineering and Computer Sciences or equivalent practical experience
• 4+ 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 QUALIFICATIONS:

• 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

• Execute engineering development to advance the state-of-the-art in machine perception research for Contextualized Al, 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 system-level, multi-component issues that typically span across multiple layers from sensor to application