World Labs is a spatial intelligence company, building frontier models that can perceive, generate, and interact with the 3D world. Backed by NEA and a16z.
About the role
We are seeking a Senior/Staff Rendering Systems Engineer to build and scale high-throughput, Unreal Engine–based rendering systems for synthetic data generation.
What they're looking for
- Strong candidates must demonstrate mastery in low-level Unreal rendering architecture and GPU programming. While broad experience on distributed multi-GPU compute are highly valued, core graphics performance engineering remains the primary prerequisite
- Strong background in performance engineering, including telemetry profiling, roofline analysis, latency/throughput optimization, and systematic root-cause analysis
- Working knowledge of Nanite, Lumen, and associated graphics debugging suites
- Advanced low-level GPU optimization skills (CUDA/Vulkan), with emphasis on kernel-level tuning, memory hierarchy management, and memory bandwidth efficiency
- High proficiency in C++, CUDA, Python (and possibly Rust), accompanied by practical Vulkan implementation experience
- Proficiency in rendering material adjustment and custom shader development pipelines
More about this role
World Labs is a frontier AI research and product company advancing spatial intelligence, the next frontier beyond large language models. Co-founded by Dr. Fei-Fei Li , Justin Johnson and Ben Mildenhall , the company is pioneering world models that perceive, generate, reason, and interact with virtual and physical worlds.
The company’s flagship product, Marble , transforms text, images, and video into fully navigable 3D worlds, unlocking applications across gaming, film, architecture, robotics, and immersive digital experiences. Backed by leading investors and with over $1B raised, World Labs is assembling a world-class team at the intersection of AI research and real-world deployment.
We are seeking a Senior/Staff Rendering Systems Engineer to build and scale high-throughput, Unreal Engine–based rendering systems for synthetic data generation.
You will own the low-level rendering and GPU performance work required to run many-world rendering efficiently across cloud GPU fleets. You will profile end-to-end workloads, diagnose performance/IO bottlenecks, and implement production-quality C++ and CUDA systems within and around Unreal Engine. You will also partner with infrastructure...
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