Software Engineer, Meta Horizon Engine - Reality Labs
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Get Started FreeAbout interviewing at Meta
Recruiter screen, a technical screen (60-minute asynchronous challenge or paired live coding), a short culture-fit questionnaire, then a virtual onsite of about four rounds: fast-paced coding with multiple problems per round, system design scoped to level, a lighter behavioral, and an AI-enabled coding round assessing how you work with a coding assistant.
Read the full Meta interview process →Description
About
This is an engineering leadership role on the Meta Horizon Engine, the cross-platform native engine powering Meta Horizon experiences.
Responsibilities
- Set direction for one or more engine systems, accurately anticipating new technology changes and product needs
- Own and implement the hardest parts of the system, while leading and growing engineers on the team
- Profile and optimize real-time systems to ensure performance under demanding content, resource, and thermal budgets
- Set a high quality bar to keep the engine easy and delightful for developers to use
- Engage in in-depth collaboration with partner teams to drive successful product outcomes
Minimum Qualifications
- Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
- 6+ years software development experience in industry settings or PhD with 4+ years of experience
- Experience with C++ and/or C
- Experience in communicating effectively with a broad range of stakeholders, collaborators and clients, at different levels Demonstrated experience leading one or more real-time engine components (e.g. Simulation, Performance, Networking, Audio, Assets) for a AAA engine (Unreal, Frostbite, Unity 3D, or other/proprietary AAA)
- Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)
- Experience building for multiple hardware platforms (e.g. PC, Console, MR/VR, Cloud, mobile)
- Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)
- Proven understanding of 3D math, linear algebra and physics
- Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies
- Experience with performance optimization of real-time applications
- Experience developing SDKs or shared technology that balances the needs of multiple shipping products
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