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Overnight Waymo Autonomous Vehicle Jobs (NOW HIRING)

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Overnight Waymo Autonomous Vehicle information

What is an Overnight Waymo Autonomous Vehicle operator?

An Overnight Waymo Autonomous Vehicle operator is responsible for monitoring and supporting Waymo's self-driving vehicles during nighttime hours. These professionals may oversee vehicle performance remotely, respond to alerts or incidents, and ensure that vehicles complete their assigned routes safely and efficiently. The role typically involves working late-night or early-morning shifts, often in a control center environment, and requires attention to detail and the ability to follow safety protocols. Operators play a crucial part in the testing and deployment of autonomous vehicle technology by providing real-time feedback and support.

What are the key skills and qualifications needed to thrive as an Overnight Waymo Autonomous Vehicle Operator, and why are they important?

To excel as an Overnight Waymo Autonomous Vehicle Operator, candidates generally need a valid driver's license, a clean driving record, attention to detail, and the ability to follow safety protocols. Familiarity with onboard diagnostic tools, computer systems, and Waymo’s proprietary vehicle software is typically required, along with completion of specialized training. Strong problem-solving skills, effective communication, and the ability to remain focused during overnight hours are essential soft skills. These qualifications ensure the safe monitoring and reporting of autonomous vehicle performance, contributing to the reliability and advancement of Waymo’s technology.

What are the typical responsibilities and challenges faced by an Overnight Waymo Autonomous Vehicle Operator?

As an Overnight Waymo Autonomous Vehicle Operator, your primary duties include monitoring autonomous vehicles during nighttime testing, ensuring safety protocols are followed, and accurately documenting any irregularities or system messages. A common challenge is staying alert and attentive throughout long night shifts, especially when traffic is minimal. Operators also collaborate closely with engineering teams by providing feedback and insights from their shifts, which directly contributes to the improvement of self-driving technology. Strong communication skills and the ability to adapt to evolving procedures are key for success in this role.

What is the difference between Overnight Waymo Autonomous Vehicle vs Autonomous Vehicle Technician?

AspectOvernight Waymo Autonomous VehicleAutonomous Vehicle Technician
CredentialsDriver's license, training in autonomous systemsTechnical certifications, ASE or manufacturer-specific training
Work EnvironmentIn-vehicle, on public roads, remote monitoringGarage, maintenance facilities, testing sites
Employer & IndustryWaymo, autonomous vehicle industryAuto manufacturers, tech companies, service providers

Overnight Waymo Autonomous Vehicles operate autonomously on public roads, often during night hours, focusing on safe navigation and system monitoring. Autonomous Vehicle Technicians perform maintenance, diagnostics, and repairs on autonomous systems and vehicles. While both roles require knowledge of vehicle systems, the former emphasizes remote operation and safety protocols, whereas the latter involves hands-on technical skills.

More about Overnight Waymo Autonomous Vehicle jobs
What cities are hiring for Overnight Waymo Autonomous Vehicle jobs? Cities with the most Overnight Waymo Autonomous Vehicle job openings:
What are the most commonly searched types of Waymo Autonomous Vehicle jobs? The most popular types of Waymo Autonomous Vehicle jobs are:
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What job categories do people searching Overnight Waymo Autonomous Vehicle jobs look for? The top searched job categories for Overnight Waymo Autonomous Vehicle jobs are:
Infographic showing various Overnight Waymo Autonomous Vehicle job openings in the United States as of June 2026, with employment types broken down into 60% Full Time, 20% Part Time, and 20% Contract. Highlights an 100% In-person job distribution.
Senior Vehicle Dynamics Simulation Engineer

Senior Vehicle Dynamics Simulation Engineer

Waymo

San Diego, CA • Hybrid

$110K - $152K/yr

Other

Posted 28 days ago


Job description

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