waymo
Machine Learning Engineer, GPU Kernel and Runtime
Mountain View, California · Full-time
Sponsorship not specified$213k-$263kDetected 1 day ago
PythonC++Machine LearningDeep LearningResearchCollaboration
About the role
- The Waymo Driver powers Waymo's fully autonomous ride-hail service and can also be applied to a range of vehicle platforms and product use cases.
- The Waymo Driver has provided over ten million rider-only trips, enabled by its experience autonomously driving over 100 million miles on public roads and tens of billions in simulation across 15+ U.S. states.
- These solutions are developed in close collaboration with teams at different modeling teams.
Requirements
- 5+ years of industry experience on system performance, hardware-level GPU optimization, or ML compilers
- Proven debugging and optimization experience on the XLA:GPU compiler, as well as the NVIDIA runtime stack
- Experience with advanced NVIDIA profiling (e.g., Nsight Compute) and debugging (e.g. cuda-gdb) tools.
Compensation
- $213,000 - $263,000 USD
Benefits
- Solid experience with designing, training and debugging deep learning models to achieve the highest scores/accuracies.
Company info
- Waymo is an autonomous driving technology company with the mission to be the world's most trusted driver.
- Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver-The World's Most Experienced Driver™-to improve access to mobility while saving thousands of lives now lost to traffic crashes.
- The Waymo ML Infrastructure team accelerates Waymo's mission, by building the best ecosystem for sustainably innovating and shipping ML powered intelligence.
- Research, Production, and the Hardware teams are our primary stakeholders and our work powers the development of the state of the art models in the areas of Perception and Trajectory planning that are core to our autonomous driving software.
- We enable our partners by offering the best in class solutions for the entire model development lifecycle.
- These solutions include understanding the model business goals and platform hardware characteristics, and codesign the models for the hardwares.
- Scale and efficiency are core tenets our infra follows.
- We are looking for engineers with ML software & systems expertise to help b uild the next generation Waymo onboard ML inference engine for Waymo fundamental model.
- You'll work across the entire ML stack from the system perspective, from efficient deep learning models, model compression, ML software (e.g. JAX, XLA, Triton, and CUDA), to.
- You will be pleasantly challenged with deploying Waymo ML models on limited computation resources.
- In this hybrid role, you will report to the Senior Manager of Runtime and Optimization.
This listing is sourced directly from waymo's careers page and normalized into a canonical job model.