About the job
Waymo is an autonomous driving technology company with the mission to be the world's most trusted driver. 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, model development, optimization and monitoring. We are looking for engineers with ML software or ML systems expertise to help us improve compute performance on both cloud and car.
Responsibilities
Lead the collaboration with the world-class Waymo ML scientists in perception, planner, research and simulation. Identify opportunities in both systems and models to make ML workloads faster.
Lead projects from proposals through execution by developing junior engineers.
Analyze and improve ML system workloads on both cloud and self-driving cars .
Apply model optimization, efficient deep learning techniques and ML software improvements to Waymo's ML systems.
Qualifications
Minimum
M.S. in CS, EE, Deep Learning or a related field
2+ years of experience as a technical lead, including writing project plans, engaging with customer teams, mentoring, responsible for goals & execution, reporting status.
5+ years of experience developing solutions in ML systems or ML software stack (Pytorch/JAX/TF, runtime libraries, ML compiler).
Deep understanding of ML system architecture, performance analysis and tools.
Strong Python or C++ programming skills
Preferred
PhD in CS, EE, Deep Learning or a related field.
Familiarity with the HW architecture of ML hardware accelerators (e.g., GPU/TPU).
Deep knowledge of model optimization or efficient deep learning techniques for foundation models or LLM.
Experience with GPU HW or TPU HW and related system software.