Sensor Rendering Software Engineer

Applied Intuition•Sunnyvale, CA

2d•Onsite

About The Position

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.

Requirements

4+ years of industry experience in graphics, simulation, or performance-critical systems
Strong experience optimizing multi-threaded C++ applications, including task systems, synchronization, memory ownership, and cache behavior
Hands-on experience with GPU programming, including CUDA and/or shader development, and an understanding of CPU–GPU coordination
Solid understanding of modern rendering pipelines, including geometry processing, materials, shaders, and GPU memory management
Experience working inside large engine codebases (e.g., Unreal Engine or similar real-time engines)
Fluency in C++ and Python, with working knowledge of shader languages (HLSL/GLSL or similar)
Strong intuition for performance debugging, profiling, and system-level optimization across CPU and GPU

Nice To Haves

Experience with neural rendering or neural reconstruction techniques, such as 3D Gaussian splatting, NeRF-style representations, or hybrid neural-graphics pipelines
Familiarity with CUDA-accelerated rendering or simulation workloads
Experience designing or optimizing real-time ray tracing systems
Familiarity with autonomy-related sensors (cameras, LiDAR, radar, ultrasonic) and their simulation or rendering requirements

Responsibilities

Own end-to-end efforts to improve runtime performance and scalability of the rendering and neural simulation stack across multiple products and sensor modalities
Design and optimize multi-threaded C++ systems for scene management, scheduling, streaming, and CPU-side orchestration
Develop and optimize GPU pipelines using CUDA and shaders, including data layout, memory movement, synchronization, and kernel performance
Contribute to the development and maintenance of both physically-based rendering (PBR) and neural rendering / neural reconstruction engines (e.g., 3D Gaussian-based representations)
Build internal tooling and automated benchmarking and profiling infrastructure, including CI-based performance regression tracking
Collaborate with rendering, simulation, and content teams to ensure correctness, performance, and scalability across real-time workloads
Maintain and evolve critical engine infrastructure to stay current with state-of-the-art graphics and neural rendering techniques