Software Engineer (University Grad)
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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