Vehicle Dynamics Simulation Engineer

The Robot Dynamics team at Zoox is responsible for the vehicle dynamics performance of our robot.

Our team is the engine behind Zoox’s vehicle dynamics development. We don't just "test" vehicles; we translate data into technical insights that drive critical engineering decisions. We are looking for an engineer with strong vehicle dynamics chops and a can-do mindset—someone who can use modern data analysis tools to turn questions into answers rapidly, find the signal in the noise, and provide the broader team with clear options for advancing the vehicle dynamics performance of our robots.

In this role, you will:

• Conduct virtual ride and handling assessments to identify critical trade-offs and lead testing activities

• Analyze simulation and vehicle data to provide quick-turnaround insights on vehicle behavior, identify performance gaps, and propose hardware or software solutions.

• Distill complex vehicle dynamics phenomena into clear, data-backed options for the broader engineering team to consider during design and tuning cycles.

• Contribute to the core Zoox vehicle model to improve realism and simulation capabilities

• Use simulation and data analysis to evaluate vehicle stability in limit-handling maneuvers and safety-critical failure modes.

Qualifications

• 5+ years of experience and a Bachelor's in Mechanical Engineering, Aerospace Engineering, or a related field

• Strong first-principles command of vehicle dynamics (e.g. tire modeling, load transfer, kinematics, and frequency response).

• Experience with vehicle dynamics CAE development tools, such as Dymola, IPG CarMaker, MSC Adams

• Proven ability to look at complex, multi-dimensional data and extract clear actionable insight

• Programming experience with Python or a similar scripting language 

• Ability to translate highly technical data into concise summaries and actionable recommendations for cross-functional partners.

Bonus Qualifications

• Master’s or PhD in Mechanical Engineering with a focus on dynamics or controls.

• Hands-on physical testing experience (proving grounds, Formula SAE, or professional motorsports).

• Experience with DOE/optimization workflows

• Strong programming experience: Python, C+

$141,000 - $177,000 a year

Base Salary Range

There are three major components to compensation for this position: salary, Amazon Restricted Stock Units (RSUs), and Zoox Stock Appreciation Rights. A sign-on bonus may be offered as part of the compensation package. The listed range applies only to the base salary. 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 [email protected] 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.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.