Tesla

Makes electric cars, robotaxis and grid batteries

Vehicle Dynamics Modeling Engineer - Simulation Infrastructure

Data EngineeringConfirmed live in the last 24 hours

Full-timePalo Alto, CA, USANo salary listedIn-person

About the Job

Requirements

A degree in Mechanical Engineering, Computer Science, or a related field, or equivalent experience.
At least 2 years of experience in motorsport, automotive, or software development environments.
Strong proficiency in Python for data analysis using libraries such as Pandas, NumPy, and SciPy, and familiarity with at least one systems programming language such as C++, Rust, or C.
Experience analyzing large datasets to derive engineering insights.
Understanding of vehicle dynamics principles and practical experience with vehicle hardware and suspension components.
Ability to manage multiple priorities in a dynamic environment.

Responsibilities

Architect, develop, and maintain a vehicle simulation toolchain for offline analysis and driver-in-the-loop simulator applications.
Develop and maintain data pipelines to process, analyze, and visualize data from simulations, track testing, and the global vehicle fleet.
Apply statistical analysis and machine learning techniques to correlate simulation models with real-world performance data, identify key performance indicators, and identify areas for improvement.
Create data visualization dashboards and tools to provide actionable insights to vehicle dynamics, controls, and hardware engineering teams.
Collaborate with vehicle development engineers to define requirements, develop model features, and ensure simulation accuracy.
Troubleshoot issues within the simulation ecosystem and lead data-driven correlation efforts to enhance predictive accuracy.

Category	Engineering & Information Technology
Location	Palo Alto, California
Requisition ID	254309
Type	Full-time

Job Description

<p>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.</p><p> </p>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.

Job Responsibilities

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

Job Requirements

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

About the Company

Tesla

Makes electric cars, robotaxis and grid batteries

Tesla makes electric cars and batteries that store power for homes and utilities, and it develops self-driving software and humanoid robots. In 2023, its Model Y became the first electric vehicle to rank as the world's best-selling car. Buyers order the Model 3 sedan, Model Y SUV, or Cybertruck pickup directly from Tesla instead of through dealers, and they charge on its Supercharger fast-charging network. It also sells Megapack and Powerwall batteries, runs a robotaxi service, and charges drivers a monthly fee for self-driving software that still needs their supervision. Tesla was founded in 2003, with Elon Musk as its lead early investor and a recognized co-founder, and it is based in Austin, Texas.

Company size: 10,001+
Company stage: IPO
Headquarters: Austin, TX
Founded: 2003

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