Senior Neural Rendering Software Engineer

Responsibilities

• Own end-to-end development and optimization of neural rendering systems, including 3D Gaussian-based representations and other learned scene representations, across multiple products and sensor modalities
• Design and scale GPU pipelines using CUDA for neural scene training, inference, and real-time rasterization — including data layout, memory movement, synchronization, and kernel performance
• Architect and optimize multi-threaded C++ systems for scene management, streaming, scheduling, and CPU-side orchestration of neural and hybrid rendering workloads
• Research, prototype, and productionize state-of-the-art neural rendering and reconstruction techniques, keeping the engine at the frontier of the field
• Integrate neural rendering outputs with existing simulation and rendering infrastructure, including lightweight physically-based rendering (PBR) components where classical techniques complement neural approaches
• Build internal tooling and automated benchmarking and profiling infrastructure, including CI-based performance regression tracking for neural pipelines

Requirements

• 4+ years of industry or research experience in neural rendering, neural 3D simulation, or closely related fields (graphics, vision, or performance-critical GPU systems)
• Minimum of a Bachelor's degree in computer science, computer engineering, or equivalent
• Hands-on experience with neural scene simulation such as 3D Gaussian splatting, NeRFs, neural radiance fields, or similar learned volumetric/surface representations
• Strong GPU programming skills, including CUDA and/or shader development, with an understanding of CPU–GPU coordination for training and inference workloads
• Strong experience optimizing multi-threaded C++ applications, including task systems, synchronization, memory ownership, and cache behavior
• Strong intuition for performance debugging, profiling, and system-level optimization across CPU and GPU

Nice to have

• Publications or significant project contributions in neural rendering, novel view synthesis, 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 (cameras, LiDAR, radar, ultrasonic) and their simulation or rendering requirements

Compensation

Base salary range: $150,000 - $250,000 USD annually (plus equity and benefits)