What To Expect
As a Vehicle Dynamics Simulation & Data Analysis Engineer at Tesla, you will be at the forefront of developing the tools that define the performance of our next-generation vehicles. This role is a unique opportunity to merge your passion for vehicle dynamics, software development, and data science to directly impact products that accelerate the world's transition to sustainable energy.

You will be a key contributor to our advanced simulation toolchain, working from first principles to model complex vehicle behaviors. Your expertise will be crucial in transforming vast amounts of simulation and real-world test data into actionable insights that drive engineering decisions. This position requires a meticulous, data-driven engineer who thrives in a fast-paced, collaborative environment and is committed to solving the most challenging problems in vehicle performance.

What You'll Do

Architect, develop, and maintain a world-class vehicle simulation toolchain for both offline analysis and driver-in-the-loop (DIL) simulator applications

Develop and maintain robust data pipelines to process, analyze, and visualize terabytes of data from simulations, track testing, and our global vehicle fleet

Apply statistical analysis and machine learning techniques to correlate simulation models with real-world performance data, identifying key performance indicators and areas for improvement

Create intuitive data visualization dashboards and tools to provide actionable insights to vehicle dynamics, controls, and hardware engineering teams

Collaborate closely with vehicle development engineers to define requirements, develop new model features, and ensure simulation accuracy

Troubleshoot complex issues within the simulation ecosystem and lead data-driven correlation efforts to enhance predictive accuracy

What You'll Bring

Degree in Mechanical Engineering, Computer Science, or related field, or equivalent experience

Minimum of 2 years of experience in motorsport, automotive, or software development environments

Strong proficiency in Python for data analysis with libraries like Pandas, NumPy, and SciPy, and familiarity with at least one systems programming language such as C++, Rust, or C

Proven experience analyzing large datasets to derive engineering insights

Solid understanding of vehicle dynamics principles and practical experience with vehicle hardware and suspension components

Demonstrated work ethic, integrity, and ability to manage multiple priorities in a dynamic environment

, Tesla