# Senior Neural Rendering Software Engineer

**Company:** [Applied Intuition](https://hotfix.jobs/companies/applied-intuition)
**Location:** Sunnyvale, CA
**Role:** ML Engineering
**Salary:** $150k – $250k/yr
**Experience:** 4+ years
**Skills:** C++, CUDA, Neural Rendering, 3D Gaussian Splatting, Nerfs, Multi-Threaded Programming, Gpu Programming, Physically-Based Rendering, Pbr, Ray Tracing, Differentiable Rendering
**Posted:** 2026-04-27

> Develops and optimizes neural rendering systems using C++ and CUDA for real-time simulation, focusing on 3D Gaussian representations, GPU pipelines, and multi-threaded scene management. Requires 4+ years in neural graphics or related fields and a Bachelor's degree.

## Job Description

## 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)

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