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Waymo is an autonomous driving technology company with the mission to be the 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 Driver powers Waymo One, a fully autonomous ride-hailing service, and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over one million rider-only trips, enabled by its experience autonomously driving tens of millions of miles on public roads and tens of billions in simulation across 13+ U.S. states.
The ML Platform team at Waymo provides a set of tools to support and automate the lifecycle of the machine learning workflow, including feature and experiment management, optimization and monitoring to make our Perception, Planner, Research and Simulation teams better. We require your expertise to help us improve compute performance on both cloud and car. You'll work across the entire ML stack from the system perspective, from efficient deep learning models and model compression.
You will report to the Senior Manager
You will:
- Collaborate with the world-class Waymo ML practitioners in perception, planner, research and simulation to analyze ML workload performance and apply optimization techniques.
- Support the building of tools for benchmarking and optimizing deep learning models
- Contribute to the analysis of ML software stack and model performance.
- Develop an efficient ML runtime system and optimized ML operator libraries for the diverse hardware options on Waymo's platforms.
You have:
- B.S. in CS, EE, Deep Learning or a related field
- 2+ years of industry experience
- Solid C++ programming skills
- Experience developing/using deep learning frameworks (PyTorch, TensorFlow, JAX, etc.)
- Passion developing and optimizing ML software stacks for modern ML accelerator architectures (framework, runtime library, ML compiler, GPU performance/optimization etc)
We Prefer:
- M.S. or PhD in CS, EE, Deep Learning or a related field.
- Experience on ML frameworks, ML compiler and IRs (MLIR, HLO, Triton) or modern ML system architectures and heterogeneous runtime systems/ML inference/serving engine.
#LI-Hybrid
The expected base salary range for this full-time position across US locations is listed below. Actual starting pay will be based on job-related factors, including exact work location, experience, relevant training and education, and skill level. Your recruiter can share more about the specific salary range for the role location or, if the role can be performed remote, the specific salary range for your preferred location, during the hiring process.
Waymo employees are also eligible to participate in Waymo’s discretionary annual bonus program, equity incentive plan, and generous Company benefits program, subject to eligibility requirements.
Salary Range
$170,000—$216,000 USD
Waymo Mountain View, California, USA Office
1600 Amphitheatre Pkwy, Mountain View, CA, United States, 94043
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