Lead Engineer, Game Data Framework

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Worlds cape is a cutting‑edge platform designed to unify distributed data, sensors, and intelligent agents across cloud, on‑prem, and edge environments. By combining geospatial intelligence, physics‑based 3D simulation, and reward‑driven AI, Worlds cape enables organizations to build immersive digital twins for predictive modeling, scenario planning, and adaptive decision‑making. With a zero‑trust security framework, seamless integration with legacy systems, and robust developer tools, Worlds cape empowers rapid deployment of agentic applications that drive resilience and efficiency in sectors such as logistics, telecom, defense, and infrastructure.

Worlds cape is seeking an experienced Game Engine Programmer who thrives in a rapid development environment. In this role, you’ll lead the design, implementation, and optimization of our real‑time graphics engine and data pipeline infrastructure, with a strong focus on performance, scalability, and system‑level efficiency. You’ll architect and maintain the core runtime systems that power customer simulations at scale.

The ideal candidate brings 8+ years of game or game‑engine development experience and is comfortable jumping in to solve a wide range of technical challenges. You’ll join a team pushing the boundaries of agentic AI and simulation, helping advance the next generation of real‑time systems.

This is an onsite role that will be located in Redmond, WA.

• Build highly performant, multithreaded systems that scale across CPU and GPU.
• Design memory‑efficient data pipelines capable of supporting large‑scale procedural environments and densely populated simulation scenes.
• Work with our Chief Technology Officer to implement core engine systems for real‑time simulation, rendering, and sensor data output.
• Work with the platform team to design profiling and debugging tools to monitor engine health, frame timing, memory usage, and system latency.
• Optimize GPU compute workloads to ensure high throughput for both graphical rendering and sensor‑specific data generation.
• Develop tooling and metrics pipelines to continuously monitor and improve system bottlenecks.
• Collaborate closely with simulation, graphics, and platform infrastructure teams to ensure platform performance meets the demands of parallelized, distributed workloads.
• Your work will be central to enabling high‑volume, high‑fidelity, real‑time data simulations powering commercial and military applications.

• 8+ years of experience in graphics or engine development, preferably within real‑time or simulation‑focused environments.
• Deep proficiency in C++ and game‑engine development.
• Strong background in multithreaded engine architecture, performance profiling (CPU/GPU, frame timing, load balancing), GPU compute and pipeline optimization, shader development (e.g., HLSL, GLSL), lower‑level memory management.
• Familiarity with real‑time 3D math, spatial data structures, and camera/sensor modeling.
• Experience driving technical projects from architecture through to deployment, with strong collaboration across cross‑functional teams.
• Developed a AAA game, or large scale, technically ambitious game projects, with involvement in performance‑critical systems.
• Worked with modern high‑performance game engines or newer, or another modern high‑performance game engine.
• Hands‑on experience working directly with the core engine codebase, not just using the editor or scripting layer—for example, modifying rendering systems, memory allocators, or runtime infrastructure.

• Experience with simulation systems for autonomous systems, robotics, or related domains.
• Familiarity with sensor simulation technologies such as LiDAR, radar, depth, and realistic simulation of a broad range of cameras with varying levels of quality and their image signal processing capabilities.
• Prior work on deterministic simulation, fixed‑update loops, or real‑time physics systems.
• Experience scaling and optimizing engines for cloud or distributed compute environments.
• Knowledge of large‑scale procedural content generation and…