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Motorsports Competition - Competitor Performance Analysis Engineer

  • 위치
    • Concord, North Carolina
  • 일정 Full time
  • 게시됨


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

The GM Motorsports Program is seeking a Performance Engineer to focus on developing and implementing analysis to characterize competitor performance through assessing the areas of strength and weakness across the competitor field and identifying the most important contributions to competition success. This analysis will span a variety of approaches, both utilizing data analytics to derive direct insight from on-track telemetry/timing and scoring data and resolving vehicle parameters by developing vehicle models and regressing model parameters from measured on-track data.  As the only member of the team focused in this area, this role requires someone well versed in vehicle dynamics, specifically as applied to motorsports, who has vision and motivation to develop and build a program from the ground up.  Close collaboration with other members of the Performance Engineering group and regular interaction with members across the greater GM Motorsports group and customer race teams is required.

What You’ll Do

Develop Competitor Analysis Techniques

  • Conceptualize competitor analysis techniques

  • Prototype models and analysis routines which implement these analysis methods

  • Work with data acquisition and testing groups to develop proper instrumentation to validate data sources provide in track feeds. Quantify precision and accuracy of input data

  • Execute competitor performance characterizations to derive insight for race event reporting and guide long-term vehicle development projects

  • Collaborate with GM Motorsports Simulation, Data Analytics, Strategy, and Software Dev groups to derive an optimal architecture and implementation plan to build software and support for week-to-week production operation

Work with GM Internal groups and external partners

  • To understand analysis areas to target for greatest benefit

  • To answer open questions across all GM Motorsports groups, building group knowledge

  • To brainstorm new ways of achieving greater performance in targeted areas

  • To train others developing understanding of underlying models and knowledge to execute regular analysis and reporting tasks


[Additional Description]

Your Skills & Abilities (Required Qualifications)

  • Bachelor’s Degree in Engineering, Physics, or related subject.

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

  • Intimate knowledge of simulation workflows in a professional motorsports organization including both offline simulation and the DIL simulator. 

  • Experience developing and using simulation tools to optimize vehicle performance .

  • Proficient programing in Python, MATLAB, or similar language

  • Extensive experience analyzing on-track performance through both application vehicle dynamics principles and statistical methods.

  • Strong organization skills, forward thinking mentality, and a superb attention to detail.

  • Ability to multi-task in a dynamic, constantly evolving environment, with exceptional work ethic and integrity.

What Will Give You a Competitive Edge (Preferred Qualifications)

  • Race Engineering experience with intimate knowledge of race car setup, event preparation, technical inspection, race procedures and race strategy

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

  • Experience in multibody modeling and simulation using Dymola/Modelica, ADAMS, or similar

  • Knowledge in tire modeling, construction, testing, and validation

  • Experience with aerodynamic testing and applying physical and/or CFD results to vehicle modeling tools for on-track performance optimization

  • Familiarity with vehicle testing methods and data reduction from on-track testing, SPMM, and 7-post

다양성 정보

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숙소 (미국 및 캐나다)

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