Waymo is looking to increase the fidelity, scalability and controllability of its simulations to improve the performance of the Waymo Driver.
Requirements
- Experience with machine learning-based 3D Reconstruction techniques, including 3D Gaussian Splatting (3DGS) and Neural Radiance Fields (NeRF), depth estimation techniques OR traditional 3D reconstruction and rendering pipelines
- Fluency in Python, C++, with experience developing ML software using frameworks such as PyTorch, TensorFlow and Jax/Flax
- Experience with processing or simulating (Lidar, Camera, or MIMO Radar) sensor data
- Experience with autonomous systems including robotics or autonomous vehicles (L4, L3+)
- Experience training large-scale models on GPU/TPU clusters
Responsibilities
- Develop the latest simulation technologies using 3D Gaussian Splatting, foundational models for sensor data generation and traditional 3D graphics techniques
- Lead the deployment and scaling of sensor simulation to address Waymo's hardest challenges in a highly cross-functional environment
- Work in close collaboration with Waymo's foundational AI research team to transfer State-of-The-Art research into scalable and production-ready solutions
- Drive innovation in ultra-realistic sensor data and perception simulation for autonomous vehicles
- Accelerate company objectives using sensor simulation and maximize impact
Other
- MS in Computer Science, Machine Learning (ML), Robotics, or similar technical field of study, or equivalent practical experience
- Demonstrated experience as a Tech Lead in large cross-functional efforts with significant production impact
- Management experience
