Engineer Race Strategy

Toyota North America • Salisbury, NC

3d

About The Position

Collaborative. Respectful. A place to dream and do. These are just a few words that describe what life is like at Toyota. As one of the world’s most admired brands, Toyota is growing and leading the future of mobility through innovative, high-quality solutions designed to enhance lives and delight those we serve. We’re looking for talented team members who want to Dream. Do. Grow. with us. Toyota Racing Development (TRD) is seeking an Engineer, Race Strategy to join our team. We are dedicated to advancing automotive engineering and maximizing racetrack performance, and this role is integral to our pursuit of becoming the most respected motorsports engineering organization. This role focuses on the development and maintenance of predictive models to optimize real-time race strategy decisions. The position will be responsible for implementing cloud-based simulations, leveraging data science techniques to analyze historical race data, and communicating data-driven insights to race strategists to support decision-making before, during, and after race events.

Requirements

• Bachelor's degree in Engineering, Statistics, Data Science, or a related field.
• 3+ years of experience working in professional motorsports, with a strong understanding of race strategy fundamentals.
• Experience using predictive modeling and data analytics to inform race strategy decisions.
• Proficiency in Rust, Python, C++, MATLAB, or similar programming languages.
• Experience with probabilistic programming and machine learning frameworks, such as PyTorch, PyMC, TensorFlow, or equivalent.

Nice To Haves

• Familiarity with AI/ML modeling techniques and their applications in motorsports.
• Understanding of race car vehicle dynamics and tire modeling.
• Experience developing or utilizing strategy tools in NASCAR.

Responsibilities

• Develop and maintain predictive models to optimize real-time race strategy decisions.
• Implement cloud-based Monte Carlo simulations to evaluate risk/reward tradeoffs for various race strategies.
• Utilize data science techniques to analyze historical race data, enhance model fidelity, and predictive accuracy.
• Collaborate with race strategists and engineers to best summarize and visualize model output before, during, and after race events.
• Research and integrate advanced methodologies in machine learning, predictive modeling, and probabilistic programming to enhance modeling capabilities.
• Communicate data-driven insights and risk assessments to race strategists to support real-time decision-making.
• Ensure predictive models are scalable, computationally efficient, and adaptable for real-time applications.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Number of Employees: 101-250 employees