At Meta, we're building innovative products that make it easier for people to connect with each other and enjoy immersive experiences. Our team of experts is developing and shipping products at the intersection of hardware, software, and content, pushing the future of computing platforms and redefining the way people work, play, and connect. As a Realtime Engine Technology engineer, you'll play a key role in designing and developing real-time interactive software that powers our immersive experiences, enabling seamless and intuitive interactions between users and virtual environments. By joining our team, you'll contribute to building the next generation of immersive computing experiences.

Qualifications:

Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience Bachelor's degree in Computer Science, Computer Engineering, a relevant technical field, or equivalent practical experience 6+ years of software development experience in industry settings or a 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 Experience building engine-level systems (e.g., Rendering, Collision, Physics, Input Processing, Audio, Animation, Networking, etc.) for 3D real-time interactive engines (Unity 3D, Unreal, Frostbite, or other/proprietary) Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies Experience building for multiple hardware platforms (e.g., PC, Console, MR/VR, Cloud, mobile) In-depth understanding of 3D math, linear algebra, and physics Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews) Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements) Experience with performance optimization of real-time applications (CPU, GPU, Memory, etc.)