Applied Intuition

Senior Neural Rendering Software Engineer

Applied Intuition$150K — $250K *
Information Technology
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • 4+ years of industry/research experience in neural rendering or related fields
  • Bachelor's degree in computer science, computer engineering or similar
  • Hands-on experience with neural scene simulation techniques
  • Strong GPU programming skills with CUDA and shader development
  • Experience optimizing multi-threaded C++ applications
  • Proficiency in performance debugging and system-level optimization

Responsibilities

  • Own development and optimization of neural rendering systems across products
  • Design and scale GPU pipelines using CUDA for training and inference
  • Architect and optimize multi-threaded C++ systems for various workloads
  • Research, prototype, and implement cutting-edge neural rendering techniques
  • Integrate neural outputs with existing simulation and rendering infrastructure
  • Build internal tooling for benchmarking and profiling neural pipelines

Benefits

  • Equity in the form of options and/or restricted stock units
  • Comprehensive health, dental, vision, life and disability insurance
  • 401k retirement benefits with employer match
  • Learning and wellness stipends
  • Paid time off
Full Job Description
About the role

We are seeking a senior-level engineer with strong foundations in modern real-time rendering systems, neural graphics (e.g., 3D Gaussian-based representations), and high-performance multi-threaded C++/CUDA pipelines. This role sits at the intersection of classical graphics engines and neural rendering systems, with a focus on scaling performance across CPU and GPU for large, real-time simulation workloads. At Applied Intuition, engineers are expected to take ownership of technically complex systems, make architecture-level decisions, work closely with internal and external users, and help evolve both the product and the engineering culture.
At Applied Intuition, you will:
  • 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
We're looking for someone who has:
  • 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
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 at Applied Intuition for eligible roles includes base salary, equity, and benefits. Base salary is a single component of the total compensation package, which may also include equity in the form of options and/or restricted stock units, comprehensive health, dental, vision, life and disability insurance coverage, 401k retirement benefits with employer match, learning and wellness stipends, and paid time off. Note that benefits are subject to change and may vary based on jurisdiction of employment.

Applied Intuition pay ranges reflect the minimum and maximum intended target base salary for new hire salaries for the position. The actual base salary offered to a successful candidate will additionally be influenced by a variety of factors including experience, credentials & certifications, educational attainment, skill level requirements, interview performance, and the level and scope of the position.

Please reference the job posting's subtitle for where this position will be located. For pay transparency purposes, the base salary range for this full-time position in the location listed is: $150,000 - $250,000 USD annually.

Don't meet every single requirement? If you're excited about this role but your past experience doesn't align perfectly with every qualification in the job description, we encourage you to apply anyway. You may be just the right candidate for this or other roles.

About Applied Intuition

Applied Intuition is a software company that provides a simulation platform for autonomous vehicles. The platform allows developers to test and validate their autonomous vehicle software in a virtual environment before deploying it on real vehicles. Applied Intuition was founded in 2017 and is headquartered in Mountain View, California.
Learn more about Applied Intuition
Size
200 employees
Industry
Founded
2017

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