Waymo | Mountain View, San Francisco, Seattle, Los Angeles, New York | London, Oxford, Warsaw | Full-time | ONSITE + HYBRID | https://waymo.com/careers

Building autonomous driving software at production scale across perception, prediction, planning, simulation, and the systems that power a commercial ride-hailing service.

Hiring now, Software Engineers and ML Engineers:

* Perception, Prediction, Planning ML Train and ship models for scene understanding and behavior, own E2E pipelines, and make the Driver smoother and safer. Examples: Senior ML Engineer, Prediction; Senior Software Engineer, Applied ML, Planner Technology; Senior or Principal roles in Perception Systems and Semantics.

* Simulation, World Modeling, Evaluation Push sim fidelity with foundation models, 3D reconstruction, sensor simulation, and realism metrics at massive scale. Examples: ML Engineer, Simulation; Senior ML Engineer, Simulation Realism; Principal Software Engineer, Simulator; Senior SWE, Model Evaluation; Research Scientist, World Modeling.

* Backend, Fullstack, Commercialization Build the backend and apps that run ride-hail at scale, from fleet orchestration to pickup and dropoff UX. Examples: Backend SWE, Fleet Orchestration; Backend SWE, Pickups and Dropoffs; Principal SWE, Commercialization; Senior Backend SWE; Fullstack TLM/Staff; Senior Frontend SWE, Simulation; Senior SWE, Data Tooling.

* ML Platform, Data Infra, and Data Science Power model training and evaluation with petabyte-scale data systems, lineage, feature stores, and decision science. Examples: Senior SWE, ML Data Infra; Senior SWE, Perception Data Primary; Senior Product Data Scientist; Data Engineer; Senior Data Scientist.

US comp examples from postings: Backend SWE $170k–$216k; Senior or Principal SWE and Staff-level ML roles commonly $204k–$421k base, plus bonus and equity. Roles vary by location and level.

Apply: https://waymo.com/careers (mention HN). Or, directly contact me (recruiter at Waymo) mhamel[at]google[dot]com