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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Foundation Model Data, Software Engineer - **Company:** Waymo LLC - **Location:** San Francisco, CA, United States - **Salary:** $213,000.0 - $263,000.0 - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, C++ (Programming Language), Continuous Integration, Data Systems, Distributed Systems, Python (Programming Language), Machine Learning, Tensorflow, Reinforcement Learning, Pytorch, Large Language Models, Apache Spark, Deep Learning, Apache Flume, Kubernetes, Information Technology, Machine Learning Operations, Software Version Control, Data Pipelines - **Published:** July 2, 2026 - **Apply:** https://diversityjobs.com/main/sendform/8/8/28176/1/17438990?backUrl=%2Fcareer%2F17438990%2FFoundation-Model-Data-Software-Engineer-California-San-Francisco ## About the Role * Undergraduate degree in Computer Science, Machine Learning, Robotics, similar technical field of study, or equivalent practical experience * Proficiency in Python and C++ * Experience building or maintaining large-scale data pipelines or ML infrastructure (e.g., Flume, Spark, Borg, Kubeflow) * Strong hands-on SWE skills, able to drive development of large, complex shared codebases, * Experience designing and building distributed systems or MLOps platforms (e.g., model versioning, experiment tracking, CI/CD for ML) * Familiarity with one of the modern deep learning frameworks (e.g. Pytorch, JAX, Tensorflow) * Experience in AV planning and related research * Prior work in an industrial or research setting developing methodologies for data-centric improvement of ML models * Previous data curation experience and multimodal experience ## Description 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 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. The mission of the Waymo AI Foundations team is to develop machine learning solutions addressing open problems in autonomous driving, towards the goal of safely operating Waymo vehicles in dozens of cities and under all driving conditions. As part of our work, we also initiate and foster collaborations with other research teams in Alphabet. AI Foundations areas that we are currently focusing on include reinforcement learning, learning from demonstration, generative modeling, Bayesian inference, hierarchical learning, and robust evaluation. In this hybrid role, you will report to a Principal Research Scientist. You will: * Build and operate the petabyte-scale data systems and ML pipelines at the heart of Waymo's foundation model development * Shepherd cutting-edge foundation models from research prototypes to robust components within the Waymo Driver * Develop automated, high-performance infrastructure to ensure the dependable and efficient rollout of data solutions at the forefront of Waymo foundation model program * Wield large-scale compute and frameworks like Flume/Beam and JAX to process massive datasets for training, evaluating and deploying complex models * Drive significant leaps in the speed, reliability, and efficiency of the end-to-end ML development lifecycle * Partner with experts in AI Foundations, ML, and Platform to transform model innovations into tangible improvements to Waymo's product ## Related Videos - [Developer Experience, Platform Engineering and AI powered Apps](https://www.wearedevelopers.com/videos/990-developer-experience-platform-engineering-and-ai-powered-apps) - [Machine learning in the browser with TensorFlowjs](https://www.wearedevelopers.com/videos/155-machine-learning-in-the-browser-with-tensorflowjs) - [Understanding Kubernetes in a visual way](https://www.wearedevelopers.com/videos/100085-understanding-kubernetes-in-a-visual-way) - [Photonic Computing: Programming a New Class of AI Accelerators (incl. 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