Senior / Staff Graphics Software Engineer
As a Graphics Software Engineer, you will create the next generation of multi-sensor rendering software for autonomous driving. You will collaborate with our team of world-renowned scientists and engineers to build innovative, practical, and scalable rendering and content creation solutions for self-driving. We value original, high-impact ideas and rigorous experimental validation.
You will…
- Be part of a team of multidisciplinary Research Scientists and Engineers working on building a cutting-edge multi-sensor simulation stack leveraging graphics, computer vision, and machine learning.
- Design and implement core rendering technology for simulating cameras, LiDARs, and RADARs by mixing traditional real-time rendering with neural rendering, 3D Gaussian Splatting, generative models, etc.
- Collaborate with Waabi’s autonomy and safety teams to improve the realism and diversity of Waabi World.
- Have the opportunity to publish high-impact research at top conferences (CVPR, ECCV, ICCV, SIGGRAPH, NeurIPS, ICLR, ICRA).
Qualifications:
- Real-time graphics experience. You’ve spent a minimum of three years shipping real-time rendering projects, and you have extensive experience in at least one GPU API (Vulkan, DirectX, OpenGL, or similar).
- Familiarity with GPU optimization. You have a deep understanding of GPU performance, and you know how to use instrumentation and tracing tools like NSight, Tracy, or Renderdoc to identify and address bottlenecks.
- Strong software engineering fundamentals. You write efficient and maintainable code in systems languages such as C++ or Rust, and you are proficient in at least one shading language (GLSL, HLSL, WGSL, etc.).
- A passion for building worlds. Whether you've worked on AAA games, indie titles, or complex robotics simulators, you have experience creating and working within interactive 3D environments.
Bonus/nice to have:
- Experience in working with robotics and other autonomous systems.
- Experience with accelerated computing like CUDA, OpenCL, and Vulkan compute pipelines.
- Experience with accelerated raytracing (Nvidia OptiX, Vulkan Raytracing, DXR, etc.).
- Experience with Python and deep learning frameworks like PyTorch, JAX, or TensorFlow.
- Experience with neural rendering (NeRF, Gaussian Splatting, etc.).
- Experience working in cloud computing environments, e.g., launching and debugging GPU jobs in the cloud.