Vehicle Dynamics Modeling Engineer, Simulation Infrastructure
Tesla
Vehicle Dynamics Modeling Engineer, Simulation Infrastructure
Job Description
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.
Locations
- Palo Alto, California, United States
Salary
84,000 - 204,000 USD / yearly
Estimated Salary Rangehigh confidence
140,000 - 220,000 USD / yearly
Source: ai estimated
* This is an estimated range based on market data and may vary based on experience and qualifications.
Skills Required
- proficiency in Python for data analysisintermediate
- libraries like Pandas, NumPy, and SciPyintermediate
- familiarity with at least one systems programming language such as C++, Rust, or Cintermediate
- analyzing large datasetsintermediate
- understanding of vehicle dynamics principlesintermediate
- experience with vehicle hardware and suspension componentsintermediate
- statistical analysisintermediate
- machine learning techniquesintermediate
Required Qualifications
- Degree in Mechanical Engineering, Computer Science, or related field, or equivalent experience (experience)
- Minimum of 2 years of experience in motorsport, automotive, or software development environments (experience, 2 years)
- 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 (experience)
- Proven experience analyzing large datasets to derive engineering insights (experience)
- Solid understanding of vehicle dynamics principles and practical experience with vehicle hardware and suspension components (experience)
- Demonstrated work ethic, integrity, and ability to manage multiple priorities in a dynamic environment (experience)
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
Benefits
- general: Aetna PPO and HSA plans > 2 medical plan options with $0 payroll deduction
- general: Family-building, fertility, adoption and surrogacy benefits
- general: Dental (including orthodontic coverage) and vision plans, both have options with a $0 paycheck contribution
- general: Company Paid (Health Savings Account) HSA Contribution when enrolled in the High Deductible Aetna medical plan with HSA
- general: Healthcare and Dependent Care Flexible Spending Accounts (FSA)
- general: 401(k) with employer match, Employee Stock Purchase Plans, and other financial benefits
- general: Company paid Basic Life, AD&D, short-term and long-term disability insurance
- general: Employee Assistance Program
- general: Sick and Vacation time (Flex time for salary positions), and Paid Holidays
- general: Back-up childcare and parenting support resources
- general: Voluntary benefits to include: critical illness, hospital indemnity, accident insurance, theft & legal services, and pet insurance
- general: Weight Loss and Tobacco Cessation Programs
- general: Tesla Babies program
- general: Commuter benefits
- general: Employee discounts and perks program
Tags & Categories
Vehicle Dynamics Modeling Engineer, Simulation Infrastructure
Tesla
Vehicle Dynamics Modeling Engineer, Simulation Infrastructure
Job Description
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.
Locations
- Palo Alto, California, United States
Salary
84,000 - 204,000 USD / yearly
Estimated Salary Rangehigh confidence
140,000 - 220,000 USD / yearly
Source: ai estimated
* This is an estimated range based on market data and may vary based on experience and qualifications.
Skills Required
- proficiency in Python for data analysisintermediate
- libraries like Pandas, NumPy, and SciPyintermediate
- familiarity with at least one systems programming language such as C++, Rust, or Cintermediate
- analyzing large datasetsintermediate
- understanding of vehicle dynamics principlesintermediate
- experience with vehicle hardware and suspension componentsintermediate
- statistical analysisintermediate
- machine learning techniquesintermediate
Required Qualifications
- Degree in Mechanical Engineering, Computer Science, or related field, or equivalent experience (experience)
- Minimum of 2 years of experience in motorsport, automotive, or software development environments (experience, 2 years)
- 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 (experience)
- Proven experience analyzing large datasets to derive engineering insights (experience)
- Solid understanding of vehicle dynamics principles and practical experience with vehicle hardware and suspension components (experience)
- Demonstrated work ethic, integrity, and ability to manage multiple priorities in a dynamic environment (experience)
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
Benefits
- general: Aetna PPO and HSA plans > 2 medical plan options with $0 payroll deduction
- general: Family-building, fertility, adoption and surrogacy benefits
- general: Dental (including orthodontic coverage) and vision plans, both have options with a $0 paycheck contribution
- general: Company Paid (Health Savings Account) HSA Contribution when enrolled in the High Deductible Aetna medical plan with HSA
- general: Healthcare and Dependent Care Flexible Spending Accounts (FSA)
- general: 401(k) with employer match, Employee Stock Purchase Plans, and other financial benefits
- general: Company paid Basic Life, AD&D, short-term and long-term disability insurance
- general: Employee Assistance Program
- general: Sick and Vacation time (Flex time for salary positions), and Paid Holidays
- general: Back-up childcare and parenting support resources
- general: Voluntary benefits to include: critical illness, hospital indemnity, accident insurance, theft & legal services, and pet insurance
- general: Weight Loss and Tobacco Cessation Programs
- general: Tesla Babies program
- general: Commuter benefits
- general: Employee discounts and perks program
Tags & Categories