Tesla

Makes electric cars, robotaxis and grid batteries

Durability Development Engineer

Mechanical EngineeringConfirmed live in the last 24 hours

Full-timeFremont, CA, USANo salary listedIn-person

About the Job

Requirements

Proven ability to operate in ambiguity, define problem statements independently, and drive engineering solutions to completion.
Strong foundation in mechanical engineering fundamentals, including fatigue of materials, structural dynamics, vibrations, and mechanics of materials.
Demonstrated proficiency in programming and numerical analysis, such as Python, NumPy, SciPy, and Pandas, or equivalent, for processing large-scale time-series datasets.
Strong background in digital signal processing, including filtering, spectral analysis, fast Fourier transform (FFT), power spectral density (PSD), rainflow counting, and damage equivalent load calculations.
Experience with vehicle instrumentation, data acquisition systems, and dynamic road load data analysis (RLDA).
Strong technical communication skills to translate complex analytical findings into design constraints for cross-functional engineering teams.

Responsibilities

Understand product and customer usage requirements using data analytics from vehicle testing and customer insights.
Process large datasets using first-principles engineering skills to extract loads and requirements across the entire vehicle or vehicle systems.
Derive deployable loads and test profiles in alignment with stakeholders.
Ensure successful deployment and execution for designing and testing.
Build, automate, and maintain robust analytical data pipelines and signal-processing workflows to ingest, clean, and interpret large datasets.
Build fast, scalable, and automated tools and algorithms.
Support loads development using test data and simulation tools, including performing simulations with multibody dynamics (MBD) tools.
Use data analytics and develop tools to unlock the Analysis team's model correlations and improve predictive capabilities.
Drive continuous improvement through field learning and close the loop on loads development work.

Category	Engineering & Information Technology
Location	Fremont, California
Requisition ID	287124
Type	Full-time

Job Description

As a Durability Development Engineer, you sit at the intersection of data, simulation, and physical testing, playing a critical role in defining and achieving structural and fatigue targets for next-generation vehicle platforms. You will decode real-world customer usage into engineering targets.We operate with high agency, you will own and drive the entire process of loads developments: from defining the problem statements and requirements all the way to deployment for designing and testing. The quality of your understanding and processing of the data into develop meaningful loads will be critical to success.You will collaborate across engineering functions to predict structural behavior and accelerate vehicle development cycles.

Job Responsibilities

Understand product and customer usage requirements, supported by data analytics from vehicle testing and customer insights
Process large datasets in conjunction with your strong first-principles engineering skills to extract loads and requirements across the entire vehicle or vehicle systems
Derive those into deployable loads and test profiles in alignment with all stakeholders
Ensure successful deployments and execution for designing & testing
Build, automate, and maintain robust analytical data pipelines and signal processing workflows to ingest, clean, and interpret large datasets
Build fast, scalable, and automated tools and algorithms
Aid loads developments using both test data and simulation tools, performing some of your own simulations with MBD tools
Use data analytics and develop tools to unlock Analysis' team model correlations and improve the team's predictive capabilities
You will continuously drive improvements thanks to field learning in closing the loop on your loads development work

Job Requirements

High agency and ownership: Proven ability to operate in ambiguity, define problem statements independently, and drive engineering solutions to completion
Strong foundation in mechanical engineering fundamentals, including fatigue of materials, structural dynamics, vibrations, and mechanics of materials
Demonstrated proficiency in programming and numerical analysis (Python, NumPy, SciPy, Pandas, or equivalent) for processing large-scale time-series datasets
Strong background in digital signal processing (filtering, spectral analysis, FFT, PSD, rainflow counting, and damage equivalent load calculations
Experience with vehicle instrumentation, data acquisition systems, and dynamic road load data analysis (RLDA)
Relentless curiosity and sharp physical intuition for diagnosing physical vehicle behavior from test data
Strong technical communication skills to translate complex analytical findings into design constraints for cross-functional engineering teams

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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