Motorsports - Applied Vehicle Dynamics Team Support Engineer

JR United Kingdom; Stoke-on-Trent; Hybrid; GBP 50,000 - 80,000; Full time

Job summary

An established industry player is looking for a Team Simulation Support Engineer to enhance their motorsports program. This dynamic role involves collaborating with race teams and engineers to optimize simulation tools and improve on-track performance. You will leverage your engineering expertise and data analysis skills to provide critical support, ensuring that all projects meet high standards and deadlines. If you are passionate about motorsports and eager to contribute to cutting-edge simulation technology, this opportunity is perfect for you. Join a forward-thinking company that values innovation and teamwork in a hybrid work environment.

Qualifications

• 5+ years of engineering experience, with 4+ years in motorsport.
• Proficiency in data analysis software and high-performance vehicle modeling.

Responsibilities

• Support GM Motorsports with simulation toolchain and data analysis.
• Collaborate with teams to enhance simulation models and performance.

Skills

Data Analysis

Engineering Principles

Motorsport Experience

Communication Skills

Analytical Skills

Education

Bachelor's degree in Engineering

Master's degree in Engineering

Tools

Pi Toolbox

MoTeC i2

McLaren ATLAS

Dymola/Modelica

C#

Git

Job description

Job Description

Hybrid: This role is categorized as hybrid. This means the successful candidate is expected to report to Concord, NC three times per week, at minimum.

The Role

To strengthen our motorsports program, we are seeking a Team Simulation Support Engineer to enhance the utilization of our simulation toolchain across GM Motorsports-supported series. The primary goal of this position is to provide valuable engineering support that leads to improved on-track performance. You will collaborate with race team members and fellow GM support engineers to conduct analysis studies using offline and driver-in-loop (DiL) simulations. Additionally, you will assist in the development and education of offline simulation tools, facilitate team feedback to GM simulation development entities, contribute to the refinement of vehicle modeling inputs, and help establish baseline simulation settings for on-track events. You will be expected to complete all projects to the highest standards, on time, and within budget. Proficiency in completing engineering tasks using simulation, a proactive approach to engaging with others in vehicle performance activities, and a passion for using highly accurate and numerically efficient models are essential for this role.

What You’ll Do

• Serve as a key performance support engineer for GM Motorsports in the NASCAR Cup series.
• Assist teams in fitting collected data for input into simulation models.
• Collaborate with the broader simulation support team to continuously improve and explore methods to enhance the simulation toolchain and boost race team performance.
• Provide race teams with expert knowledge on simulation toolchain functionality and modeling practices.
• Represent racing team needs as a stakeholder in the simulation toolchain development process.

Additional Job Description

Your Skills & Abilities (Required Qualifications)

• Bachelor's degree in Engineering, Physics, or a related field.
• 5+ years of overall engineering industry experience.
• 4+ years of professional motorsport experience within a race team setting.
• Proficiency in using data analysis software such as Pi Toolbox, MoTeC i2, and McLaren ATLAS.
• Knowledge of high-performance vehicle, tire, and aerodynamic modeling techniques.
• Highly analytical, customer-focused, and structured, with excellent relationship-building and communication skills.
• Ability to multi-task effectively in a dynamic, ever-changing environment, demonstrating a strong work ethic and integrity.
• Strong team player, flexible schedule availability, and high level of integrity.
• Ability to travel 10% of the time per year.
• This job may be eligible for relocation benefits.

Preferred Qualifications

• Master's degree in Engineering, Physics, or a related field.
• Experience working with driver-in-loop (DiL) simulators.
• Proficiency in using Dymola/Modelica within a simulation toolchain.
• Familiarity with modern software development tools and environments, preferably C# and Git.