Senior Neural Rendering Software Engineer

Responsibilities

• Own end-to-end development and optimization of neural rendering systems, including 3D Gaussian-based representations
• Design and scale GPU pipelines using CUDA for neural scene training, inference, and real-time rasterization
• Architect and optimize multi-threaded C++ systems for scene management, streaming, and scheduling
• Research, prototype, and productionize state-of-the-art neural rendering and reconstruction techniques
• Integrate neural rendering outputs with existing simulation and rendering infrastructure
• Build internal tooling and automated benchmarking and profiling infrastructure

Requirements

• 4+ years of industry or research experience in neural rendering, neural 3D simulation, or related fields
• Bachelor's degree in computer science, computer engineering, or equivalent
• Hands-on experience with neural scene simulation (3D Gaussian splatting, NeRFs, etc.)
• Strong GPU programming skills including CUDA and/or shader development
• Strong experience optimizing multi-threaded C++ applications
• Strong intuition for performance debugging and system-level optimization

Preferred Qualifications

• Publications or significant project contributions in neural rendering or 3D reconstruction
• Experience productionizing research-grade neural graphics systems into real-time engines
• Familiarity with differentiable rendering or differentiable simulation frameworks
• Experience designing or optimizing real-time ray tracing systems
• Familiarity with autonomy-related sensors like LiDAR, radar, or cameras

About the Company

Applied Intuition is powering the future of physical AI, creating the digital infrastructure needed to bring intelligence to every moving machine on the planet, servicing industries like automotive, defense, and agriculture.