Software Engineer, Systems (Games and Interactive Experiences)

Meta

New York (NY)

On-site

USD 150,000 - 210,000

Full time

9 days ago

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Job summary

Meta is seeking a systems engineer to push frontier AI models toward games and interactive experiences on real devices. You will optimize frame pacing, device performance, and cross-platform porting while enabling responsive networked experiences and scalable tooling.

Work involves integrating AI tools to redesign workflows and improve efficiency, with a focus on performance, reliability, and collaboration across teams. You will own systems end-to-end from design to production.

Qualifications

  • Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience.
  • Experience building and shipping games, applications, or interactive experiences to production.
  • Experience testing, debugging, and optimizing interactive applications for performance and reliability.
  • Experience with the systems layer of interactive software, such as frame pacing, threading, app lifecycle, or platform integration.
  • Programming experience in C++, C#, Kotlin/Java, Swift, or shader languages.
  • Demonstrated ability to integrate AI tools to optimize workflows and drive measurable impact (e.g., efficiency gains, quality improvements).
  • Experience porting applications across platforms, form factors, or input devices.
  • Experience building networked real-time or multiplayer experiences.
  • Experience with performance profiling tools such as RenderDoc, Perfetto, PIX, or Instruments.
  • Experience with game engine technology such as Unity or Unreal, or with real-time graphics and shader pipelines.
  • Demonstrated ongoing AI skill development and staying current with emerging AI technologies.
  • Experience adhering to responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews).
  • Experience building spatial or XR experiences, including sensor-driven input such as hand tracking and gaze.
  • Experience with graceful degradation strategies across varied hardware and thermal conditions.
  • Exposure to large language models or generative AI application development.

Responsibilities

  • Build and optimize interactive experiences that meet performance targets across frame rate, latency, and resource efficiency on real devices.
  • Develop cross-platform solutions that adapt to different hardware capabilities, form factors, and input methods.
  • Design and implement networked real-time experiences that remain responsive under varying network conditions.
  • Create evaluation frameworks, benchmarks, and tooling to assess and improve model-generated experiences.
  • Collaborate across teams to drive initiatives that improve training data quality and model capabilities.
  • Own components or systems end-to-end, from design through production.

Skills

Production-ready game development
Cross-platform optimization
Real-time systems
Performance profiling
Networking for real-time experiences
C/C++
Threading
AI tooling integration

Education

Bachelor's degree in Computer Science or Computer Engineering

Tools

RenderDoc
Perfetto
PIX
Instruments
Unity
Unreal

Job description

About

Meta is building frontier AI models that generate production-ready software. We're looking for a systems engineer to push this capability toward games and interactive experiences that run smoothly on real devices, respond instantly to input, and adapt to their hardware and platform. Your systems expertise — frame pacing, device optimization, multiplayer networking, cross-platform porting — will directly improve our models by shaping the evaluation and training data we use.

Responsibilities
  • Build and optimize interactive experiences that meet performance targets across frame rate, latency, and resource efficiency on real devices
  • Develop cross-platform solutions that adapt to different hardware capabilities, form factors, and input methods
  • Design and implement networked real-time experiences that remain responsive under varying network conditions
  • Create evaluation frameworks, benchmarks, and tooling to assess and improve model-generated experiences
  • Collaborate across teams to drive initiatives that improve training data quality and model capabilities
  • Own components or systems end-to-end, from design through production
Minimum Qualifications
  • Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
  • Experience building and shipping games, applications, or interactive experiences to production
  • Experience testing, debugging, and optimizing interactive applications for performance and reliability
  • Experience with the systems layer of interactive software, such as frame pacing, threading, app lifecycle, or platform integration
  • Programming experience in C++, C#, Kotlin/Java, Swift, or shader languages
  • Bachelor's degree in Computer Science, Computer Engineering, a relevant technical field, or equivalent practical experience Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)
  • Experience porting applications across platforms, form factors, or input devices
  • Experience building networked real-time or multiplayer experiences
  • Experience with performance profiling tools such as RenderDoc, Perfetto, PIX, or Instruments
  • Experience with game engine technology such as Unity or Unreal, or with real-time graphics and shader pipelines
  • Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies
  • Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)
  • Experience building spatial or XR experiences, including sensor-driven input such as hand tracking and gaze
  • Experience with graceful degradation strategies across varied hardware and thermal conditions
  • Exposure to large language models or generative AI application development
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