Alternative Energy, Analysis Skills, C Programming Language, C++ Programming Language, Compensation and Benefits, Computer Engineering, Computer Science, Data Analysis, Data Management, Data Science, Data Sets, Data Visualization, Data Visualization Tools, Disability Insurance, E Programming Language, Ecosystems, Fitness, Hardware Components, Identify Issues, Life Insurance, Machine Learning, Mechanical Engineering, Multitasking, Performance Metrics, Programming Languages, Python Programming/Scripting Language, Reporting Dashboards, Requirements Management, Rust Programming Language, Simulation, Software Development, Statistics, Stock Purchase Plans, Systems/Internals Programming, Team Player, Test Data, Truck Driver, Vehicle Fleets
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
Compensation and Benefits
Benefits
Along with competitive pay, as a full-time Tesla employee, you are eligible for the following benefits at day 1 of hire:
- Company-paid Health, Dental, Vision, Life, and Disability insurances
- RRSP with employer match, Employee Stock Purchase Plans, and other financial benefits
- Employee Assistance Program
- Parental Success Programs
- Sick and Vacation time (Flex time for salary positions), and Paid Holidays
- Tesla Babies program
- Tesla products, fitness discounts, and perks program
Tesla is an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to any factor, including veteran status and disability status, protected by applicable federal, state or local laws.
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Vehicle Dynamics Modeling Engineer, Simulation Infrastructure
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