Motorsports Performance Engineer IndyCar

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

This position is part of the GM Motorsports Performance Engineering team with a primary focus on supporting the IndyCar program. Our mission is to maximize on-track performance by developing and deploying advanced motorsports analysis tools shaping long-term vehicle development strategies and delivering event-specific recommendations for vehicle configuration setup and race strategy to our partner this role you will work across multiple disciplines including vehicle dynamics data analytics race strategy and simulation model development refinement and correlation. Your contributions will directly influence competitive performance and innovation within the IndyCar program.

Typical responsibilities include reducing correlating and interpreting data from on-track tests rig evaluations and Driver-in-the-Loop (DIL) simulator sessions; conducting vehicle simulation studies to identify performance opportunities; and developing and distributing tools that enable race teams and internal GM Motorsports groups to generate actionable insights and reach conclusions efficiently.

An essential aspect of this role will be the effective collaboration with a range of internal GM Motorsports groups and external race teams partners to build understanding understand needs and convey well as improving race team understanding to further effective application of GM motorsports work output and tools. You will leverage resources across the GM Motorsports program to effectively develop toolsets and develop recommendations to increase the competitiveness of GM Motorsports IndyCar teams. You will closely collaborate with the GM Motorsports Simulation group to develop and refine simulation tools and advance analysis methodologies. Coordination with GM production engineering GM IT GM Motorsports personnel and GM race teams is essential in both developing underlying knowledge and implementing solutions.

What Youll Do

Assist GM IndyCar race teams in utilizing GM Motorsports toolchain and support race teams with vehicle performance insights :

Utilize vehicle simulation tools both offline and DiL simulator to characterize event specific sensitivities and derive favorable vehicle configuration directions and setup recommendations. Investigations will likely begin with large simulation batches / DOEs followed by targeted application of desktop sims and finalized by Driver in Loop (DiL) assessment.

Convey findings in regular written reports distributed to GM IndyCar Teams.

Develop race team understanding of simulation toolchain functionality and best modeling and analysis practices

Support race teams and other GM Motorsports engineers in setup and use of Driver in Loop (DiL) simulators

Correlate vehicle models comparing logged track data with model output and develop relationships between performance and handling metrics and driver-perceived vehicle behavior. Fit collected data and develop inputs for simulation modeling.

Mine prior event data for performance trends and characterize competitor performance by analyzing series-provided telemetry timing and scoring data and derived metrics from GM Motorsports race strategy tools.

Actively review quality of correlation accuracy of previous recommendations and process bottlenecks / weaknesses to identify areas of future enhancement. Conceptualize and develop methods improvements and new tools to address identified issues and add value to customer race teams.

Provide engineering support for rig and track tests developing test plans performing data analysis and teaching team personnel to use tools and interpret simulation output.

Travel to occasional IndyCar events to support at-track engineering efforts.

Build GM Motorsports program by furthering global performance initiatives and transferring knowledge of team learnings and improved analysis methods across the GM motorsports group.

Collaborate with Performance group members supporting other series to transfer learnings and adopt most useful analysis and reporting methods developed across the group.

Represent race teams as a stakeholder in the simulation toolchain development process.

Brainstorm new ways of achieving greater performance in targeted areas. Reimagine and prototype new and better solutions to common problems or questions.

Coordinate with other internal GM Motorsports groups to share information build knowledge base and assist in collaboratively advancing support program. Provide recommendations consolidating the newest findings across the GM Motorsports groups to supported IndyCar teams.

What Youll Need (Required Qualifications)

Bachelors degree in Engineering Physics Mathematics or related subjects

5 years of experience in a top-level motorsports series including IndyCar F1 NASCAR IMSA WEC or similar

Intimate knowledge of simulation workflows in a professional motorsports organization i ncluding offline simulation and DIL

Demonstrated experience using simulation tools to optimize vehicle performance

Proficient programing in python MATLAB or similar language

Proficiency in Motorsports data analysis software including Pi Toolbox Atlas Motec or similar

Experience analyzing on-track performance or simulation performance by defining performance metrics and deriving actionable recommendations through application vehicle dynamics principles and statistical methods

Highly analytical detail oriented customer focused with positive relationships and strong communicative skills

Given the need to support some live race events during weekends this role will require the ability to work a flexible schedule

What Will Give You a Competitive Edge (Preferred Qualifications)

Software development experience with C# WPF or similar languages

Multi-body model development experience with Modelica / Dymola MSC Adams or similar

Race Engineering experience in IndyCar F1 or Formula E with intimate knowledge of race car setup event preparation technical inspection race procedures and race strategy

Strong knowledge of high-performance vehicle tire and aero simulation modeling techniques

#LI-LP2

This role is categorized as hybrid. This means the selected candidate is expected to report to a specific location at least 3 times a week or other frequency dictated by their manager. The selected candidate will be required to travel

About GM

Our vision is a world with Zero Crashes Zero Emissions and Zero Congestion and we embrace the responsibility to lead the change that will make our world better safer and more equitable for all.

Why Join Us

We believe we all must make a choice every day individually and collectively to drive meaningful change through our words our deeds and our culture. Every day we want every employee to feel they belong to one General Motors team.

Benefits Overview

From day one were looking out for your well-beingat work and at homeso you can focus on realizing your ambitions. Learn how GM supports a rewarding career that rewards you personally by visiting Total Rewards resources .

Non-Discrimination and Equal Employment Opportunities (U.S.)

General Motors is committed to being a workplace that is not only free of unlawful discrimination but one that genuinely fosters inclusion and belonging. We strongly believe that providing an inclusive workplace creates an environment in which our employees can thrive and develop better products for our customers.

All employment decisions are made on a non-discriminatory basis without regard to sex race color national origin citizenship status religion age disability pregnancy or maternity status sexual orientation gender identity status as a veteran or protected veteran or any other similarly protected status in accordance with federal state and local laws.

We encourage interested candidates to review the key responsibilities and qualifications for each role and apply for any positions that match their skills and capabilities. Applicants in the recruitment process may be required where applicable to successfully complete a role-related assessment(s) and / or a pre-employment screening prior to beginning employment. To learn more visit How we Hire .

Accommodations

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Key Skills

JProfiler,Splunk,Performance Testing,Fiddler,Apache,HP Performance Center,LoadRunner,New Relic,Scalability,J2EE,Java,Scripting

Employment Type : Full-Time

Experience : years

Vacancy : 1