<p>The Performance Research Engineer will play a critical role in advancing TaylorMade's leadership in golf equipment performance. This position is ideal for a hands-on engineer with strong mechanical aptitude and advanced data analytics skills. The ideal candidate will bridge the gap between physical testing and high-level data analysis to deliver actionable insights that influence product design and performance optimization.</p> <p>Essential Functions and Key Responsibilities:</p> <ul> <li> <p>Lead the design and execution of advanced performance testing protocols for golf clubs and balls.</p> </li><li> <p>Analyze large datasets from lab and field testing to extract actionable insights on ball speed, spin, launch, and consistency.</p> </li><li> <p>Develop and maintain automated data pipelines and dashboards for performance tracking.</p> </li><li> <p>Collaborate with R&D, Product Development, and Tour teams to integrate player feedback and real-world data into product design.</p> </li><li> <p>Conduct competitor benchmarking and present findings to influence product strategy.</p> </li><li> <p>Support the development of new test methods and instrumentation.</p> </li><li> <p>Performs other related duties and assignments as required.</p> </li></ul> <p>Knowledge and Skills Requirements:</p> <ul> <li> <p>Proven ability to work in a team-oriented, collaborative environment.</p> </li><li> <p>Proficient in Microsoft Suite (Word, Excel, Outlook, PowerPoint).</p> </li><li> <p>Strong golf background (low single-digit handicap preferred); deep understanding of equipment-player interaction.</p> </li><li> <p>Demonstrated mechanical aptitude and hands-on experience with experimental testing, instrumentation, and troubleshooting.</p> </li><li> <p>Advanced proficiency with data analysis tools (e.g., Python, R, MATLAB, Excel).</p> </li><li> <p>Excellent communication skills, with the ability to present complex findings to technical and non-technical audiences.</p> </li><li> <p>Experience with golf launch monitors, motion capture, or high-speed video analysis preferred.</p> </li><li> <p>Familiarity with advanced statistical methods (e.g., ANOVA, regression modeling, machine learning) preferred.</p> </li><li> <p>Experience developing automated reporting tools or dashboards (e.g., Power BI, Tableau) preferred.</p> </li></ul> <p>Education, Work Experience, and Professional Certifications:</p> <ul> <li> <p>Bachelor's or Master's degree in Engineering (Mechanical, Electrical, Aerospace, Computer Science or related), Applied Mathematics, Physics, or Data Science.</p> </li><li> <p>Master's degree plus 0-2 years of relevant experience, or Bachelor's degree plus 2-4 years of experience.</p> </li></ul> <p>Work Environment / Physical Requirements:</p> <ul> <li> <p>Hybrid office and field-testing environment with extensive computer use, data review, and communication across teams.</p> </li><li> <p>Ability to work extended hours during key testing cycles, product deadlines, or Tour-related activities.</p> </li><li> <p>Comfortable working in dynamic environments with frequent context switching and interruptions.</p> </li><li> <p>Light physical activity, including moving test equipment, prototypes, and other lightweight materials.</p> </li><li> <p>Regular travel to test facilities, player testing sessions, manufacturing partners, and PGA/LPGA Tour events may be required.</p> </li></ul> <p>TaylorMade is a performance driven organization and our total rewards approach to compensation is designed to support this. We consider many factors in determining base compensation, including position scope, job related knowledge, education, skills, experience, and work location. The expected annual base pay range for this position is $88,000 - $102,000. Additional benefits, such as health & wellness, performance bonuses, product discounts, holidays, paid time off, etc. may also be offered in accordance with our plans.</p> <p>#LI-Onsite</p> <p>#LI-CL1</p> <p>TaylorMade Golf Company is an equal opportunity employer. All qualified applicants receive consideration for employment without regard to race, religious creed, color, national origin or ancestry, physical or mental disability, medical condition, genetic information, marital status, sex, pregnancy, gender, gender identity, gender expression, age, sexual orientation, military and veteran status or any other basis protected by federal, state or local law, ordinance, or regulation.</p>