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.
Hardware Engineering is an innovative and collaborative group of electrical, mechanical, reliability, software and vehicle engineers. We design, build, and perfect the products which are the eyes and ears of Waymo's autonomous driving technology, and integrate those products into vehicle platforms. We're seeking curious and talented teammates to keep us moving in the right direction.
This role follows a hybrid work schedule and you will report to Systems Engineering Manager.
You will:
- Use C++ and multi-domain modeling tools to develop models of chassis dynamics, actuator dynamics, and safety systems for Waymo platforms
- Integrate vehicle dynamics models into the Waymo Simulator and simulation workflows
- Define and drive the execution of test campaigns to characterize the vehicle dynamics of Waymo platforms and validate vehicle dynamics models
- Develop and execute sim-based analyses to support all phases of development of the Waymo Driver from requirements definition through verification and validation
- Support partner teams across Waymo in applying vehicle dynamics simulation capabilities to their use cases
You have:
- Master’s degree in an engineering or related field (including ME, EE, CS, Robotics, Controls, Aerospace, etc.) or equivalent practical experience
- At least 5 years experience modeling and simulating vehicle dynamics
- Strong understanding of tire modeling techniques, including analytical and semi-empirical (Magic Formula) models
- Strong understanding of chassis dynamics modeling techniques, including both low- and high-fidelity (multibody) models
- Strong understanding of the principles of operation of vehicle safety systems, including anti-lock brakes, electronic stability control, and traction control
- Experience with commercial vehicle dynamics modeling tools (Simscape, Maplesim, CarMaker, Carsim, Adams etc.)
- At least 2 years experience implementing models/algorithms in C++ and performing data analysis using Python
We prefer:
- Experience developing chassis control systems such as anti-lock brakes, electronic stability control, and traction control.
- At least 5 years experience developing production-quality C++ and Python code
- Experience integrating models into a broader simulation framework
- Familiarity with Modelica
- Familiarity with the Functional Mockup Interface (FMI) standard
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.
Waymo Mountain View, California, USA Office
1600 Amphitheatre Pkwy, Mountain View, CA, United States, 94043
Waymo San Francisco, California, USA Office
San Francisco, United States
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