Race Strategy Engineer: Real-Time Data & Simulations

Toyota North America; Salisbury (NC); On-site; USD 120,000 - 160,000; Full time

Job summary

Toyota North America’s TRD is seeking an Engineer, Race Strategy to advance predictive modeling for real-time race decision-making. You will build and maintain models, run cloud-based Monte Carlo simulations, and leverage data science techniques on historical race data to inform strategic choices.

Collaborate with race strategists and engineers to visualize outputs, improve model fidelity, and adopt ML methods, probabilistic programming, and scalable compute for live events.

Qualifications

• Bachelor’s degree or higher in a relevant field.
• 3+ years in professional motorsports or related field with race strategy experience.
• Experience with predictive modeling and data analytics to inform strategy decisions.
• Proficiency in Rust, Python, C++, MATLAB or similar languages.
• Experience with probabilistic programming and ML frameworks (PyTorch/PyMC/TensorFlow).

Responsibilities

• Develop and maintain predictive models to optimize real-time race strategy decisions.
• Implement cloud-based Monte Carlo simulations to evaluate risk/reward for race strategies.
• Analyze historical race data to improve model fidelity and predictive accuracy.
• Collaborate with race strategists and engineers to summarize and visualize model output.
• Research advanced methodologies in ML, probabilistic programming to enhance modeling capabilities.
• Communicate data-driven insights and risk assessments to support real-time decisions.
• Ensure models are scalable, computationally efficient for real-time use.

Skills

Rust

Python

C++

MATLAB

Data science

Machine learning concepts

Education

Bachelor’s degree in Engineering, Statistics, Data Science, or related field

Tools

PyTorch

PyMC

TensorFlow

Job description

Toyota North America’s TRD is seeking an Engineer, Race Strategy to advance predictive modeling for real-time race decision-making. You will build and maintain models, run cloud-based Monte Carlo simulations, and leverage data science techniques on historical race data to inform strategic choices.

Collaborate with race strategists and engineers to visualize outputs, improve model fidelity, and adopt ML methods, probabilistic programming, and scalable compute for live events.