Waymo

Waymo

Posted via Greenhouse

Lead Noise, Vibration, and Harshness (NVH) Engineer

Posted Aug 11, 2026

Role at a glance

Salary
$230K – $284K/yr
Location
Mountain View, California, United States
Work arrangement
Hybrid
Employment
Full-time
Experience
minimum 12 years of experience in automotive NVH engineering
Education
Master’s Degree in Mechanical Engineering

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Role Summary

AI-generated

The Mechanical Simulation Engineer will lead full-vehicle noise, vibration, and harshness (NVH) architecture for Waymo vehicles, integrating the Self Driving System with base vehicle platforms. The role uses simulation, testing, and cross-functional engineering to deliver quiet and calm vehicle environments while addressing NVH issues throughout product development.

What You'll Do

  • Define and implement the complete vehicle NVH strategy, from top-level vehicle requirements to component-level targets.
  • Lead implementation of the NVH strategy for integration of the Self Driving System and base vehicle platform.
  • Utilize finite element analysis (FEA) and statistical energy analysis (SEA) to predict, analyze, and optimize NVH characteristics.
  • Plan, execute, and analyze vehicle and component-level NVH tests in the lab and on the road.
  • Drive adoption of emerging NVH technologies, materials, and measurement techniques and develop engineering countermeasures for complex...
  • Work with internal design teams, OEM partners, and the CAE team to ensure NVH solutions are compatible with other vehicle attributes and...

Generated from the employer's posting. Verify important details before applying.

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Qualifications

Deep theoretical and practical knowledge of acoustics, vibration, modal analysis, and sound quality metrics. Expertise in NVH CAE tools like Nastran, Optistruct and Abaqus, NVH signal processing tools, and familiarity in model building with tools like Hypermesh, Simlab and Ansa. Proficiency in NVH test equipment and software and expertise in performing NVH tests.

Required

  • Master’s Degree in Mechanical Engineering
  • minimum 12 years of experience in automotive NVH engineering with increasing responsibility
  • significant experience in full vehicle design/analysis and target setting
  • Deep theoretical and practical knowledge of acoustics, vibration, modal analysis, and sound quality metrics
  • Expertise in NVH CAE tools like Nastran, Optistruct and Abaqus
  • NVH signal processing tools
  • familiarity in model building with tools like Hypermesh, Simlab and Ansa
  • Proficiency in NVH test equipment and software

Preferred

  • Experience with electric vehicle (EV) NVH challenges, including driveline whine, brake noise, and battery pack isolation
  • Familiarity with global automotive NVH regulations and standards
  • Experience in the selection and application of door seals, cabin interior trims, thermal ducts materials, and other acoustic materials...

Original job description

Content provided by the employer

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.

Our vehicle engineers work with the cars of the future every day. We touch every part of the vehicle — electrical and thermal systems, chassis and interiors, power and energy storage and beyond — as we add self-driving power to existing auto designs and create new systems of our own. Our goal: To build a new generation of high-performing vehicles that are comfortable, reliable and safe.

This role follows a hybrid work schedule and you will report to a Lead Mechanical Simulation Engineer.

You will:

  • Full Vehicle NVH Architecture: Define and implement the complete vehicle NVH strategy, from top-level vehicle requirements to component-level targets, end-to-end engineering including tracking and delivery of targets
  • Design and Integration: Lead the implementation of the NVH strategy for the integration of the Self Driving System and the base vehicle platform. Where necessary influencing all elements of the integration and vehicle/system design to ensure a quiet and calm environment for our end users, including: body structure, powertrain mounts, suspension, tires, acoustic treatments, isolations etc
  • Simulation and Analysis: Utilize advanced CAE tools (e.g., finite element analysis (FEA), statistical energy analysis (SEA)) to predict, analyze, and optimize NVH characteristics throughout the product development cycle
  • Testing and Validation: Plan, execute, and analyze vehicle and component-level NVH tests (e.g., sound quality, road noise, wind noise, powertrain contribution) both in the lab and on the road
  • Technology leadership and Problem Solving: Stay current with and drive the adoption of emerging NVH technologies, materials, and measurement techniques, develop innovative solutions like utilizing cabin noise and induced sound through speakers to predict mechanical failures, lead root cause analysis and develop robust engineering countermeasures for complex NVH issues identified during virtual and physical validation
  • Cross-Functional Collaboration: Work closely with Waymo internal design teams and OEM partners to ensure NVH solutions are compatible with all other vehicle attributes and develop detailed NVH models for the Waymo components in collaboration with the CAE team

You have:

  • Master’s Degree in Mechanical Engineering with minimum 12 years of experience in automotive NVH engineering with increasing responsibility, including significant experience in full vehicle design/analysis and target setting.
  • Deep theoretical and practical knowledge of acoustics, vibration, modal analysis, and sound quality metrics.
  • Expertise in NVH CAE tools like Nastran, Optistruct and Abaqus, NVH signal processing tools, and familiarity in model building with tools like Hypermesh, Simlab and Ansa.
  • Proficiency in NVH test equipment and software (e.g., B&K, Simcenter Testlab, VIacoustics) and expertise in performing NVH tests

We prefer:

  • Experience with electric vehicle (EV) NVH challenges, including driveline whine, brake noise, and battery pack isolation
  • Familiarity with global automotive NVH regulations and standards
  • Experience in the selection and application of door seals, cabin interior trims, thermal ducts materials, and other acoustic materials for NVH

 

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 Range
$230,000$284,000 USD
Waymo

About the company

Waymo

Large Enterprise

Waymo is a leading autonomous driving technology company, originally a part of Google's parent company Alphabet Inc. Established in 2009, Waymo focuses on developing self-driving cars and innovative transportation solutions designed to enhance mobility and safety on the roads. By employing advanced artificial intelligence and machine learning algorithms, the company aims to revolutionize personal and shared transportation, making it more accessible and efficient. Waymo's efforts contribute significantly to the future of autonomous vehicles and the ongoing shift towards smart transportation systems.