Software Engineer, Systems (Games and Interactive Experiences)

Meta•New York, NY

2d•$154,003 - $217,000

About The Position

Meta is seeking a systems engineer to advance AI models that generate production-ready software for games and interactive experiences. The role focuses on building experiences that run smoothly on real devices, respond quickly to input, and adapt to different hardware and platforms. Systems expertise in areas such as frame pacing, device optimization, multiplayer networking, and cross-platform porting will help shape evaluation and training data used to improve Meta’s models.

Requirements

Bachelor's degree in Computer Science, Computer Engineering, a 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.

Nice To Haves

Demonstrated ability to integrate AI tools to optimize or redesign workflows and drive measurable impact, such as efficiency gains or 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, such as prompt/context engineering or agent orchestration, and staying current with emerging AI technologies.
Experience adhering to and implementing responsible, ethical AI practices, such as risk assessment, bias mitigation, and 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 to meet performance targets for 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 on initiatives that improve training data quality and model capabilities.
Own components or systems end-to-end, from design through production.