Embedded Software Engineer Intern - Meta

On-Device AI is a critical part of virtual and augmented reality systems. In this role, you will work inside Meta Reality Labs to enable and optimize a wide range of state-of-the-art deep learning models (including Vision, Speech, Codec Avatars, LLMs, Gen AI, etc.), on a variety of VR & AR devices (including VR headsets such as Meta Quest, Smartglasses like Ray-Ban Meta, EMG Wristbands, and other upcoming products).This role is focused on efficient ML inference via use of edge hardware accelerators. The position requires a combination of expertise in machine learning and software engineering.

RESPONSIBILITIES

Embedded Software Engineer Intern Responsibilities:

• Contribute to the development of machine learning libraries, intermediate representations, export formats, and analysis tools
• Profile models to analyze performance and power efficiency of deep learning inference workloads
• Implement ML operators using low-level instructions & compiler intrinsics
• Design and implement embedded systems to facilitate control on data collection pipelines

MINIMUM QUALIFICATIONS

Minimum Qualifications:

• Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
• Experience using C/C++ for software development
• Hands-on experience in using version control systems (Git, Mercurial)
• Experience communicating with fellow engineers to understand project scope
• Experience in approaching engineering problems systematically and independently
• Must obtain work authorization in the country of employment at the time of hire, and maintain ongoing work authorization during employment

PREFERRED QUALIFICATIONS

Preferred Qualifications:

• Master's or PhD degree in fields related to Computer Science and Engineering
• Hands-on experience on development for embedded systems, e.g. on Cortex M-series controllers or DSPs
• Experience developing AI-System infrastructure or AI algorithms in C/C++