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Open nowFirst seen 39 hours ago

Software Engineer, Meta Horizon Engine - Reality Labs

Meta1,002 open roles

Where
Los Angeles, CA; Redmond, WA; Burlingame, CA
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Your applicationOpen nowSoftware Engineer, Meta Horizon Engine - Reality LabsMeta · Los Angeles, CA; Redmond, WA; Burlingame, CA
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The clock on this job

Early applications get read.

7.8% of postings close within 7 days. Measured by our own scanner across the market. Meta postings stay open a median of 35 days.

Share of postings closed within
  1. 1.6%1 day
  2. 3.4%3 days
  3. 7.8%7 days
  4. 14.3%14 days
  5. 33.7%30 days
This job: first seen 39 hours ago

Meta median: 35 days open

The posting

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

Preferred Qualifications

  • 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

US: $219,000/year to $301,000/year + bonus + equity

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