Staff Machine Learning Engineer, Runtime & Optimization

About the position reputed company is an autonomous driving technology company with the mission to be the most trusted driver. Since its start as the reputed company Self-Driving Car Project in 2009, reputed company has focused on building the reputed company Driver-The World's Most reputed company Driver-to improve access to mobility while saving thousands of lives now lost to traffic crashes. The reputed company Driver powers reputed company One, a fully autonomous ride-hailing service, and can also be applied to a range of vehicle platforms and product use cases. The reputed company 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 reputed company 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. These efforts have resulted in making machine learning more accessible to teams at reputed company, including Perception, Planner, Research and Simulation. We are looking for engineers with ML software or ML systems expertise to help us improve compute performance on both reputed company and car. 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 deploying reputed company ML models on limited computation resources. In this hybrid role, you will report to the Senior Manager of Runtime and Optimization. Responsibilities • reputed company the collaboration with the world-class reputed company ML scientists in perception, planner, research and simulation. , • Identify opportunities in both systems and models to reputed company ML workloads faster. , • reputed company projects from proposals through execution by developing junior engineers. , • Analyze and improve ML system workloads on both reputed company and self-driving cars. , • Apply model optimization, efficient deep learning techniques and ML software improvements to reputed company's ML systems. Requirements • M.S. in CS, EE, Deep Learning or a reputed company field , • 2+ years of experience as a technical reputed company, 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. reputed company-to-haves • PhD in CS, EE, Deep Learning or a reputed company 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 reputed company models or LLM. , • Experience with GPU HW or TPU HW and reputed company system software. Benefits • Discretionary annual bonus program , • Equity incentive plan , • Generous Company benefits program Apply Job!