Jobs at Waymo

• Drive incident response processes, retrospectives, and continuous improvement to prevent recurring issues. Organize and participate in on call rotations for release oriented outages, along with disaster recovery planning and business continuity
• Harden software, develop playbooks, improve oncall metrics and post-mitigation workstreams, and...

• Develop evaluation frameworks for autonomous vehicle performance, for large-scale ML models, and for the quality of simulation.
• Develop new metrics, interpret trends, and investigate anomalies in data from simulation and on-road driving.

• Design and implement metrics, test plans, and simulated scenarios for testing the autonomous vehicle in off-nominal situations, such as after a fault occurs or when remote assistance is needed, across multiple platforms and in support of rapid commercialization
• Create dashboards to monitor, visualize, and analyze fleet-wide autonomous vehicle fault rates ...

• Design, implement, and test software infrastructure, test runners, and tooling (in C++ and Python) to scale test execution on HIL (Hardware-in-the-Loop) benches and simulation platforms.
• Collaborate with Systems and Test Engineers to understand requirements, workflows, and pain points in test automation, triage, and release qualification.

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 ...

• Set the long-term technical roadmap for next-generation multi-modal perception architectures, driving paradigm shifts in multi-task learning, spatial-temporal modeling, and scene representation.
• Architect unified, scalable representations combining diverse sensor modalities across heterogeneous sensor suites.

• Train multi-billion parameter spatio-temporal foundation models on multi-billion frame data sets.
• Deliver pre-trained models for production usage, ideally for usage in real-time systems.

• Work with cross functional teams including software engineers, product managers, and operations leads to develop and implement requirements, system architecture, and verification strategy for new depot & offhail automation features. You will help automate these processes to drive greater fleet efficiency including automated low power mode switching, downloading and installing new software, logging and offloading data, and more.

• Algorithm development, system design, and software implementation to solve multi-disciplinary problems at the intersection of computer science, optimization, and fleet management.
• Instrument systems and analyze complex datasets in order to understand behaviors, troubleshoot problems, identify opportunities, and evaluate hypotheses and counterfactual scenarios.

• Develop, evaluate, and release learned driving policies for complex navigation and yielding scenarios.
• Work cross-functionally at the intersection of perception and planning, translating multi-modal perception outputs into robust behavioral actions.

• Develop, implement, and refine Bayesian forecasting models to interpret small-sample test results.
• Build and optimize predictive analytics models to monitor fleet operations and analyze vehicle behavior.

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 ...

• Infrastructure Modeling & Automation: Design and build production-grade systems and pipelines to automate capacity planning, demand management, and quota allocation.
• Quantitative Forecasting: Implement and maintain sophisticated models for infrastructure demand forecasting, incorporating architectural shifts, peak loads, and time-shifting opportunities.

• As Waymo expands to more freeways, on more platforms, in more regions, in more weather, understanding vehicle reliability becomes critical to ensuring we have a high quality and safe product.
• You will set the roadmap for how we evaluate the reliability of the Waymo driver: measure how, when and where the hardware or software fails and what happens as a result.

• Work on connecting large-scale foundation models with production systems.
• Adapt our foundation models to new sensors, new platforms, and new production requirements.

• Advance the state-of-the-art post-training techniques in the AI running on board the autonomous vehicle
• Keep up with post-training research and find the right applications for the unique problems at Waymo

• Serve as a Waymo production expert, and collaborate with other engineers to build reliable systems for autonomous vehicle operations, including depot logistics, automation flow, and critical vehicle state infrastructure.
• Manage end-to-end availability and performance for core fleet services, ensuring we have enough...

• Oversee the enterprise audit activities related to partner continued conformity with Waymo's partner standards
• Review audits of partners to assess their adherence to agreements, legal requirements, and ethical guidelines.

• Implement and scale the core economic engine for Waymo's ride-hailing commercial services. This collection of systems manages trip requests; matches right vehicles to riders; calculates the price of rides; positions Waymo’s vehicle for future demands.
• Developing infrastructure for automatically training and deploying sophisticated optimization a...

• De-risking New Deployments: Through meticulous triage of driving and simulated events, issue discovery, and continuous field monitoring, SWQOps provides early warnings and critical insights. This "early intervention in RO issue detection" ensures operational resilience and safety, particularly in new and complex environments, which is critical as Waymo enters multiple new cities and ramps up platforms like Ojai.