Meta Platforms, Inc. (Meta), formerly known as Facebook Inc., builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps and services like Messenger, Instagram, and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. To apply, click "Apply to Job" online on this web page.

Software Engineer Responsibilities

• Help build the next generation of systems behind Facebook's products, create web and/or mobile applications that reach over two billion people, and build high-volume servers to support content.


• Harness passion for technology and advanced-level knowledge, and help build highly-scalable performant solutions.


• Make use of advanced-level knowledge of algorithms and core computer science concepts and ability to apply knowledge to real world systems.


• Without direct assistance, make the most of ability to recognize and match patterns from different areas of computer science in production systems and hone skill in making architectural decisions.


• Employ deep knowledge in at least one area: data processing, programming languages, databases, networking, operating systems, computer graphics, or human computer interaction.

Minimum Qualifications

• Master's degree in Computer Science, Engineering, Information Systems, Analytics, Mathematics, Physics, Applied Sciences, or related field and 24 months in job offered or on a computer-related occupation.


• Experience must include 24 months involving the following:


• 1. C, C++, C#, or Java


• 2. Python, PHP, or Haskell


• 3. Software development tools: Code editors (VIM or Emacs), and revision control systems (Subversion, GIT, or Perforce)


• 4. Linux, UNIX, or other *nix-like OS as evidenced by file manipulation, advanced commands, and shell scripting


• 5. Building highly-scalable performant solutions


• 6. Data processing, programming languages, databases, networking, operating systems, computer graphics, or human-computer interaction


• 7. Applying algorithms and core computer science concepts to real world systems as evidenced by recognizing and matching patterns from different areas of computer science in production systems


• 8. Distributed systems.

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