Job Description Hybrid: This role is categorized as hybrid. We are seeking a Team Leader to lead GM Motorsport's Formula 1 Tire Research and Development group in developing and integrating tire models with simulation (real-time and off-line) using flat track, test, race event, and other applicable data to improve tire performance. You will collect information from sources inside and outside GM, characterize tire models and interpret results for motorsports. As a key team member, you will attend Motorsports testing domestically and internationally, cooperate with GM affiliated Motorsports teams, and enable the transfer of knowledge from Motorsports to GM Production. In this constantly evolving environment, the team works with innovative testing and analytical technologies to review tire force and moment (F&M) properties to virtually integrate tire performance to enable vehicle dynamics simulations for original equipment applications as well. Joining the GM Motorsports Organization will provide you with the experience and exposure it takes to build and maintain successful race teams and the opportunity to showcase your vehicle dynamics and simulation skills, contribute to innovation, connect lessons learned in racing to production intent vehicles, work cross functionally with our partners and ultimately, help shape the future of Motorsports! Develop methods to process, review, and qualify tire test data Attend Tire Testing Fit tire test data (F&M Flat Trac and any allowable vehicle testing) to models with documented quality Scale and synthesize models based on feedback from secondary data sources Domestic and International travel is required and expected 1-2x/month for 2-4 days in duration; tire testing occurs during the week - limited weekend travel may be required to arrive to the test facility – full details to be discussed. #Bachelor of Science in Mechanical, CAE, or Software Engineering or related field ~10+ years of engineering experience or completion of an advanced degree ~ Formula 1 or Professional Motorsports experience is required ~ MATLAB or Python coding for modeling and analysis ~ Motorsport data acquisition software ~ This job may be eligible for relocation benefits ~ A company vehicle will be provided for this role with successful completion of a Motor Vehicle Report review Advanced degree in the field of Math or Science – Master’s or PhD Knowledge of tire model fitting routines from Flat-Trac and WFT data Our Work Appropriately philosophy supports our foundation of inclusion and provides employees the flexibility to work where they can have the greatest impact on achieving our goals, dependent on role needs. Our comprehensive compensation plan incudes, the following benefits, in addition to many others: • Paid time off including vacation days, holidays, and parental leave for mothers, fathers and adoptive parents; • Healthcare (including a triple tax advantaged health savings account and wellness incentive), dental, vision and life insurance plans to cover you and your family; • Company and matching contributions to 401K savings plan to help you save for retirement; • Global recognition program for peers and leaders to recognize and be recognized for results and behaviors that reflect our company values; • Discount on GM vehicles for you, your family and friends. Diversity Information General Motors is committed to being a workplace that is not only free of discrimination, but one that genuinely fosters inclusion and belonging. We strongly believe that workforce diversity creates an environment in which our employees can thrive and develop better products for our customers. Equal Employment Opportunity Statements GM is an equal opportunity employer and complies with all applicable federal, state, and local fair employment practices laws. As part of this commitment, all practices and decisions relating to terms and conditions of employment, including, but not limited to, recruiting, hiring, training, promotion, discipline, compensation, benefits, and termination of employment are made without regard to an individual's protected characteristics. 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