The Simulator Team at Waymo builds state-of-the-art simulations of realistic environments for testing and training the Waymo Driver. Your team will be a diverse, and collaborative group of machine learning (ML) engineers, software engineers and data scientists. We develop industry-leading simulation solutions using advanced ML algorithms that measure and enhance the performance of the Waymo Driver. We achieve those goals by jointly modeling the real world, including realistic agents (vehicles, pedestrians, cyclists, motorcyclists), roads, traffic control systems, and weather conditions, and the full sensor suite including camera, Lidar and radars.
To increase the fidelity, scalability and controllability of our simulations,we employ the latest ML technologies such as large language models, foundational world models, and reconstructive methods trained on large-scale datasets with both generative and reconstructive technologies, as well as traditional rendering approaches.
In this hybrid role, you will report to a Senior Staff Engineering Manager.ย
You will:
Work closely with onboard and research engineers to scale simulation and enable critical Waymo milestones
Support development, testing and evolution of mapping data in the simulator
Improve / monitor the performance, scalability and the reliability of the simulator
Design the long term architecture to fit the product to an increasing number of internal customers
You have:
Hands-on experience building a popular (internal or external-facing) product
5+ years of experience with backend knowledge such as workflows, databases, SQL, production monitoring, etc
Strong in C++
We prefer:
Experience with the release of software in a highly distributed heterogeneous execution environment
Experience with systems programming (game engines, database, OS, distributed)
Experience with ML
#LI-Hybrid