Software Engineer, Meta Horizon Engine - Reality Labs

Meta·Los Angeles, California, United States | Redmond, Washington, United States | Burlingame, California, United States·posted just now · last seen just now

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About 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.

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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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