Vehicle Dynamics Simulation Engineer

TLDR

Use modern data analysis tools to turn vehicle dynamics data into actionable insights that influence engineering decisions and improve performance of autonomous vehicles.

  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+

  • 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.

    Zoox is building a fully autonomous vehicle fleet from the ground up, coupled with the ecosystem necessary to launch this technology into urban environments. By integrating robotics, machine learning, and innovative design, Zoox is paving the way for a new era of mobility-as-a-service.

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    Salary
    $145,000 – $183,000 per year
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