Engineer Race Strategy

TRD Toyota Racing Development Company; United States; On-site; USD 80,000 - 120,000; Full time

Job summary

Toyota Racing Development Company is seeking an Engineer, Race Strategy to optimize race decisions using predictive models. The role involves cloud-based simulations and data analysis to support race strategies.

Applicants must have a Bachelor's degree in a relevant field and 3+ years of motorsports experience. Strong programming skills in Rust, Python, or C++ are essential, alongside knowledge of AI/ML techniques.

Travel may be required for race events.

Qualifications

• 3+ years of experience working in professional motorsports with understanding of race strategy.
• Experience using predictive modeling and data analytics for race strategy decisions.
• Familiarity with AI/ML modeling techniques and applications in motorsports.

Responsibilities

• Develop and maintain predictive models for real-time race strategy decisions.
• Implement cloud-based Monte Carlo simulations for strategy evaluations.
• Communicate data-driven insights to race strategists.

Skills

Data science techniques

Predictive modeling

Risk assessment

Collaboration

Data visualization

Machine learning frameworks

Programming in Rust, Python, C++, MATLAB

Education

Bachelor's degree in Engineering, Statistics, Data Science or related

Tools

PyTorch

PyMC

TensorFlow

Job description

Overview

Toyota Racing Development (TRD) is seeking an Engineer, Race Strategy to join our team. 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.

Key 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.

Qualifications

• 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.

Preferred Qualifications

• 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.

Travel Requirements

This role may require occasional support during race events on weekends to assist with race strategy execution and data analysis. It may also require travel to some races and TRD facilities in California.

Equal Opportunity Employer

Applicants for our positions are considered without regard to race, ethnicity, national origin, sex, sexual orientation, gender identity or expression, age, disability, religion, military or veteran status, or any other characteristics protected by law.