What are the responsibilities and job description for the Senior Backend Software Engineer - Simulation Realism position at Waymo?
Waymo is an autonomous driving technology company with the mission to be the 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 One, a fully autonomous ride-hailing service, and can also be applied to a range of vehicle platforms and product use cases. The Waymo 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 Simulator Team at Waymo builds simulations of realistic environments for testing and training the Waymo Driver. We are a diverse, and collaborative group of software engineers, machine learning (ML) engineers, and data scientists. We design industry-leading simulation solutions using advanced ML algorithms that measure and enhance the performance of the Waymo Driver. By applying machine learning, we model the real world, including realistic agents (vehicles, pedestrians, cyclists, motorcyclists), roads, traffic control systems, and weather conditions.
To increase the fidelity and steerability of our simulations, we employ the latest ML technologies such as large foundation models trained on our datasets and diffusion technology. We also invest in capable infrastructure that allows us to quickly set up and roll out multiple scenarios to rigorously test our autonomous driving systems.
In this hybrid role, you will report to a Software Engineering Manager
You will:
- Help develop backend systems for synthetic data generation, ensuring the creation of high-fidelity datasets to support autonomous vehicle development. Your work will focus on building scalable, efficient services that create and distribute synthetic data across several simulation scenarios.
- Collaborate with ML engineers and data scientists to integrate advanced generative models, improve data pipelines, and ensure the seamless deployment of synthetic data solutions.
- Help enhance infrastructure capabilities to support large-scale data generation and analytics.
You have:
- 4 years of professional software engineering experience
- 4 years of experience working on large-scale distributed systems.
- 4 years of experience driving collaboration across organizational boundaries.
- 4 years of experience with C or Python (3 years active coding experiences ).
We prefer:
- 4 years of experience building scalable solutions
- 4 years of experience building platform and solutions end to end.
The expected base salary range for this full-time position across US locations is listed below. Actual starting pay will be based on job-related factors, including exact work location, experience, relevant training and education, and skill level. Your recruiter can share more about the specific salary range for the role location or, if the role can be performed remote, the specific salary range for your preferred location, during the hiring process.
Waymo employees are also eligible to participate in Waymo's discretionary annual bonus program, equity incentive plan, and generous Company benefits program, subject to eligibility requirements.
Salary : $192,000 - $243,000
