Rendering Systems Engineer - Simulation & Synthetic Data

Highlights

• Build high-throughput rendering systems for synthetic data generation at scale.
• Run many independent worlds efficiently at cloud scale.
• Integrate renderer with simulation pipelines to accelerate research iteration.

What they offer

• Equity
• Health benefits
• Dental benefits
• Vision benefits
• 401K
• Flexible PTO
• Paid parental leave
• Relocation support

Ideal candidate

A fearless, mission-driven systems builder who thrives on tough low-level performance challenges and loves collaborating to advance spatial intelligence at scale.

Requirements

• Deep experience modifying Unreal Engine's renderer to support independent worlds or cameras across GPUs
• Strong background in performance engineering including profiling, roofline analysis and root-cause diagnosis
• Deep understanding of Unreal rendering stack including platform-agnostic layer, command lists and RHI
• Experience customizing engine source and shader pipelines, including GPU resource lifetime, synchronization and async compute
• Working knowledge of Nanite, Lumen and graphics debugging tools
• Advanced low-level GPU optimization skills with emphasis on kernel tuning and memory bandwidth efficiency
• High proficiency in C++, CUDA, Python and practical Vulkan implementation experience
• Proficiency in material adjustment and custom shader development