Key qualifications
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.
- Deep understanding of Unreal rendering stack, familiar with its codebase at platform-agnostic rendering layer, the command lists abstract layer, and the RHI abstraction layer, alongside practical experience customizing engine source at various layers and shader pipelines. Familiar with its GPU resource lifetime and synchronization, as well as async compute.
- 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.
Who you are
- Fearless Innovator: We need people who thrive on challenges and aren't afraid to tackle the impossible.
- Resilient Builder: Impacting Large World Models isn't a sprint; it's a marathon with hurdles. We're looking for builders who can weather the storms of groundbreaking research and come out stronger.
- Mission-Driven Mindset: Everything we do is in service of creating the best spatially intelligent AI systems, and using them to empower people.
- Collaborative Spirit: We're building something bigger than any one person. We need team players who can harness the power of collective intelligence.
We're hiring the brightest minds from around the globe to bring diverse perspectives to our cutting-edge work. If you're ready to work on technology that will reshape how machines perceive and interact with the world - then World Labs is your launchpad.
Join us, and let's make history together.
Logistics
Location: This role is based in San Francisco, California; we work in-person in the office 5 days a week.
Visa sponsorship: We sponsor visas. While we can't guarantee success for every candidate or role, if you're the right fit, we're committed to working through the visa process together.
Benefits: We offer generous health, dental, vision and 401K benefits, flexible PTO, paid parental leave, and relocation support as needed.