Software Engineer, Systems (Games and Interactive Experiences)

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

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