Senior Sensor Rendering Software Engineer

About Applied Intuition Applied Intuition, Inc. is powering the future of physical AI. Founded in 2017 and now valued at $15 billion, the Silicon Valley company is creating the digital infrastructure needed to bring intelligence to every moving machine on the planet. Applied Intuition services the automotive, defense, trucking, construction, mining and agriculture industries in three core areas: tools and infrastructure, operating systems, and autonomy. Eighteen of the top 20 global automakers, as well as the United States military and its allies, trust the company’s solutions to deliver physical intelligence. Applied Intuition is headquartered in Sunnyvale, California, with offices in Washington, D.C.; San Diego; Ft. Walton Beach, Florida; Ann Arbor, Michigan; London; Stuttgart; Munich; Stockholm; Bangalore; Seoul; and Tokyo. Learn more at applied.co . We are an in-office company, and our expectation is that employees primarily work from their Applied Intuition office 5 days a week. However, we also recognize the importance of flexibility and trust our employees to manage their schedules responsibly. This may include occasional remote work, starting the day with morning meetings from home before heading to the office, or leaving earlier when needed to accommodate family commitments. 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 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 We're looking for someone who has: 4+ years of industry experience in graphics, simulation, or performance-critical systems A minimum of a Bachelor's degree in computer science, computer engineering, or equivalent 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 have: Experience with neural rendering or neural reconstruct ... (truncated, view full listing at source)