Software Engineer (University Grad)

Meta·Singapore·Backend

Meta is hiring a Software Engineer (University Grad) in Singapore. Posted 2025-09-17; applications close 2025-11-16.

Apply on MetaPosted 7mo ago

Role details

Overview

Meta is seeking Software Engineers to join our engineering team. You can help build the next-generation of systems behind Meta's products, create web applications that reach millions of people, build high-volume servers, and be part of a team that’s working to help people connect with each other around the globe.

Responsibilities

  • Develop a strong understanding of the relevant product area, codebase, and/or systems.
  • Demonstrate proficiency in data analysis, programming, and software engineering.
  • Produce high-quality code with good test coverage, using modern abstractions and frameworks.
  • Work independently, use available resources to get unblocked, and complete tasks on schedule by exercising strong judgment and problem-solving skills.
  • Master Meta’s development standards from developing to releasing code in order to take on tasks and projects with increasing levels of complexity.
  • Actively seek and give feedback in alignment with Meta’s Performance Philosophy.

Qualifications

  • Currently has, or is in the process of obtaining, a Bachelor's degree in Computer Science, Computer Engineering, a relevant technical field, or equivalent practical experience. Degree must be completed prior to joining Meta.
  • Must obtain work authorization in the country of employment at the time of hire, and maintain ongoing work authorization during employment.
  • Experience coding in an industry-standard language (e.g., Java, Python, C++, JavaScript).
  • Demonstrated software engineering experience from a previous internship, work experience, coding competitions, or publications.
  • Currently has, or is in the process of obtaining, a Bachelor's or Master's degree in Computer Science or a related field.
  • Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements).
  • Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews).
  • Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies.

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