About the role

Software Engineer creating next generation multi-sensor rendering software for autonomous driving at Waabi. Collaborating with a team of scientists and engineers to innovate scalable rendering and content creation solutions.

Responsibilities

Create the next generation of multi-sensor rendering software for autonomous driving.
Collaborate with our team of world-renowned scientists and engineers to build innovative, practical, and scalable rendering and content creation solutions for self-driving.
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).

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.

Competitive compensation and equity awards.
Health and Wellness benefits encompassing Medical, Dental and Vision coverage (for full-time employees only).
Unlimited Vacation.
Flexible hours and Work from Home support.
Daily drinks, snacks and catered meals (when in office).
Regularly scheduled team building activities and social events both on-site, off-site & virtually.
As we grow, this list continues to evolve!