Software Engineer, Systems

About the Role

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.

Key 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

Requirements & Tech Stack

• Programming experience in C++, C#, Kotlin/Java, Swift, or shader languages
• Experience with the systems layer of interactive software, such as frame pacing, threading, app lifecycle, or platform integration
• Experience testing, debugging, and optimizing interactive applications for performance and reliability
• Experience building and shipping games, applications, or interactive experiences to production

Qualifications

• Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience

Preferred Qualifications

• 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
• Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)
• Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies
• Experience with game engine technology such as Unity or Unreal, or with real-time graphics and shader pipelines
• Experience with performance profiling tools such as RenderDoc, Perfetto, PIX, or Instruments
• Experience building networked real-time or multiplayer experiences
• Experience porting applications across platforms, form factors, or input devices
• Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)
• Exposure to large language models or generative AI application development