Zoox

Senior NVH Engineer

Foster City, CA
USD 155k - 255k
Machine Learning
Description
About Zoox 
Zoox is developing the first ground-up, fully autonomous vehicle fleet and the supporting ecosystem required to bring this technology to market. Sitting at the intersection of robotics, machine learning, and design, Zoox aims to provide the next generation of mobility-as-a-service in urban environments. We’re looking for top talent that shares our passion and wants to be part of a fast-moving and highly execution-oriented team.

The Role 
At Zoox we aim to provide our customers with a premium ride experience while using our fully autonomous vehicles. You will work with a team of world-class engineers with diverse backgrounds in robotics, controls, and vehicle engineering while mastering vehicle NVH development. In this role, you will provide direction to key design, vehicle control, and attribute teams to ensure the right level of quietness for our customers. Working at a startup allows you to manifest your creativity and make a big difference in the final product.

You will:

  • Lead the development and achievement of vehicle-level NVH performance targets
  • Define vehicle-level targets and cascade requirements to engineering design teams
  • Conduct vehicle- and bench-level testing to assess and predict NVH performance on complete vehicle
  • Perform experimental test methods such as transfer path analysis to quantify and rank noise contributions
  • Determine the impact of proposed designs, problem root cause, and develop countermeasures
  • Develop innovative technical concepts and solutions that enable the right level of quietness

Qualifications

  • At least 8 years of automotive or related NVH development experience
  • Bachelor of Science degree in Mechanical Engineering, or a related field of study
  • Excellent understanding of acoustics and vibration principles
  • Experience in vehicle-level NVH development and integration, especially powertrain NVH 
  • Hands-on experience with vehicles, instrumentation, and data acquisition
  • Experience with acoustic and vibration test equipment and data analysis software (LMS, Test.Lab, HEAD Acoustics ArtemiS, etc.)

Bonus Qualifications

  • Master of Science degree in Mechanical Engineering is preferred
Compensation
There are three major components to compensation for this position: salary, Amazon Restricted Stock Units (RSUs), and Zoox Stock Appreciation Rights. The salary range for this position is $155,000 to $255,000. A sign-on bonus may be offered as part of the compensation package. Compensation will vary based on geographic location and level. Leveling, as well as positioning within a level, is determined by a range of factors, including, but not limited to, a candidate's relevant years of experience, domain knowledge, and interview performance. The salary range listed in this posting is representative of the range of levels Zoox is considering for this position.

Zoox also offers a comprehensive package of benefits including paid time off (e.g. sick leave, vacation, bereavement), unpaid time off, Zoox Stock Appreciation Rights, Amazon RSUs, health insurance, long-term care insurance, long-term and short-term disability insurance, and life insurance.


About Zoox
Zoox is developing the first ground-up, fully autonomous vehicle fleet and the supporting ecosystem required to bring this technology to market. Sitting at the intersection of robotics, machine learning, and design, Zoox aims to provide the next generation of mobility-as-a-service in urban environments. We’re looking for top talent that shares our passion and wants to be part of a fast-moving and highly execution-oriented team.


Accommodations
If you need an accommodation to participate in the application or interview process please reach out to accommodations@zoox.com or your assigned recruiter.

A Final Note:
You do not need to match every listed expectation to apply for this position. Here at Zoox, we know that diverse perspectives foster the innovation we need to be successful, and we are committed to building a team that encompasses a variety of backgrounds, experiences, and skills.
Zoox
Zoox
Autonomous Vehicles Machine Learning Robotics Transportation

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