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Senior Neural Rendering Software Engineer

Applied Intuition
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Hybrid (Sunnyvale, CA)$150k - $250kfull-timePosted 9mo ago

About the role

Senior-level engineer focused on real-time rendering and neural rendering systems, with emphasis on 3D Gaussian-based representations, CUDA pipelines, and scalable CPU/GPU performance for large, real-time simulations.

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

Qualifications

  • 4+ years of industry or research experience in neural rendering, neural 3D simulation, or closely related fields (graphics, vision, or performance-critical GPU systems)
  • A 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

Skills

Required:Neural renderingC++CUDA
Nice to have:Shader development

Benefits

  • base salary, equity, and benefits including comprehensive health, dental, vision, life and disability insurance
  • 401k retirement benefits with employer match
  • learning and wellness stipends
  • paid time off
Last updated May 26, 2026. Interested? Apply on the company site.

About Applied Intuition

Building vehicle intelligence | Applied Intuition

Applied Intuition is the vehicle intelligence company with the tools, Vehicle OS, and autonomy stacks for creating safe, AI-powered vehicle experiences.

AIAutonomy stacksSelf-Driving SystemSimulationTesting & ValidationVehicle IntelligenceVehicle OSai-infrastructure-and-development
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