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Posted : Monday, February 26, 2024 03:32 PM
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What to Expect
The reliability data science team's mission is to utilize and leverage large-scale data to help Tesla design and validate the most compelling and reliable products for our customers.
For this purpose, we collect real-time life data from test, factory and fleet across all products (energy, charging, and vehicle products) and utilize data-driven models to unlock decision making on prognostics and targeted design actions.
The team provides support through the whole design cycle by building software tools that orchestrate all the reliability statistics & physics analyses.
We are looking for an experienced and passionate engineer who will focus on our Prognostics and Health Monitoring efforts.
This engineer will help define and build both data-driven and physics-based models for reliability prognostics including computation of remaining useful life for Tesla products.
This role will be key to helping Tesla utilize the sensory data it collects and develop algorithms to enable prognostics applications at scale and maximize electronic systems availability under the entire spectrum of use conditions.
The level of this position will be determined at the time of the interview.
What You’ll Do Develop state-of-the-art prognostics algorithms and approaches for hybrid physics-based and data-driven prognostics, including physics-informed machine learning Work cross-functionally with various teams (e.
g.
, Design for Reliability, Test, Architecture & Design, Controls, Firmware, Service) to investigate failure modes, improve understanding of physics-of-failure phenomena at stake and drive relevant improvements in prognostics and health monitoring applications Contribute to the effort to build data pipelines and predictive time-to-failure models What You’ll Bring Bachelor’s degree or higher in quantitative discipline (e.
g.
, Physics, Electrical Engineering, Statistics, Computer Science, Mathematics) or equivalent experience Strong knowledge of statistics and machine learning Strong knowledge of physics and engineering principles Strong proficiency in a programming language such as Matlab, Python, C, C++ or Java Ability to read and implement related academic literature and experience in applying state-of-the-art prognostics algorithms Experience with applied or computational physics, building software for reliability physics analysis Experience with leveraging (statistical) signal processing at scale Experience with systems health and/or systems' health monitoring Experience building data visualizations General knowledge of Big Data ecosystem (Spark, Presto, Data Lake/Warehouse) 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: Aetna PPO and HSA plans > 2 medical plan options with $0 payroll deduction Family-building, fertility, adoption and surrogacy benefits Dental (including orthodontic coverage) and vision plans, both have options with a $0 paycheck contribution Company Paid (Health Savings Account) HSA Contribution when enrolled in the High Deductible Aetna medical plan with HSA Healthcare and Dependent Care Flexible Spending Accounts (FSA) LGBTQ+ care concierge services 401(k) with employer match, Employee Stock Purchase Plans, and other financial benefits Company paid Basic Life, AD&D, short-term and long-term disability insurance Employee Assistance Program Sick and Vacation time (Flex time for salary positions), and Paid Holidays Back-up childcare and parenting support resources Voluntary benefits to include: critical illness, hospital indemnity, accident insurance, theft & legal services, and pet insurance Weight Loss and Tobacco Cessation Programs Tesla Babies program Commuter benefits Employee discounts and perks program Expected Compensation $84,000 - $276,000/annual salary + cash and stock awards + benefits Pay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience.
The total compensation package for this position may also include other elements dependent on the position offered.
Details of participation in these benefit plans will be provided if an employee receives an offer of employment.
Tesla is an Equal Opportunity / Affirmative Action employer committed to diversity in the workplace.
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, age, national origin, disability, protected veteran status, gender identity or any other factor protected by applicable federal, state or local laws.
Tesla is also committed to working with and providing reasonable accommodations to individuals with disabilities.
Please let your recruiter know if you need an accommodation at any point during the interview process.
For this purpose, we collect real-time life data from test, factory and fleet across all products (energy, charging, and vehicle products) and utilize data-driven models to unlock decision making on prognostics and targeted design actions.
The team provides support through the whole design cycle by building software tools that orchestrate all the reliability statistics & physics analyses.
We are looking for an experienced and passionate engineer who will focus on our Prognostics and Health Monitoring efforts.
This engineer will help define and build both data-driven and physics-based models for reliability prognostics including computation of remaining useful life for Tesla products.
This role will be key to helping Tesla utilize the sensory data it collects and develop algorithms to enable prognostics applications at scale and maximize electronic systems availability under the entire spectrum of use conditions.
The level of this position will be determined at the time of the interview.
What You’ll Do Develop state-of-the-art prognostics algorithms and approaches for hybrid physics-based and data-driven prognostics, including physics-informed machine learning Work cross-functionally with various teams (e.
g.
, Design for Reliability, Test, Architecture & Design, Controls, Firmware, Service) to investigate failure modes, improve understanding of physics-of-failure phenomena at stake and drive relevant improvements in prognostics and health monitoring applications Contribute to the effort to build data pipelines and predictive time-to-failure models What You’ll Bring Bachelor’s degree or higher in quantitative discipline (e.
g.
, Physics, Electrical Engineering, Statistics, Computer Science, Mathematics) or equivalent experience Strong knowledge of statistics and machine learning Strong knowledge of physics and engineering principles Strong proficiency in a programming language such as Matlab, Python, C, C++ or Java Ability to read and implement related academic literature and experience in applying state-of-the-art prognostics algorithms Experience with applied or computational physics, building software for reliability physics analysis Experience with leveraging (statistical) signal processing at scale Experience with systems health and/or systems' health monitoring Experience building data visualizations General knowledge of Big Data ecosystem (Spark, Presto, Data Lake/Warehouse) 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: Aetna PPO and HSA plans > 2 medical plan options with $0 payroll deduction Family-building, fertility, adoption and surrogacy benefits Dental (including orthodontic coverage) and vision plans, both have options with a $0 paycheck contribution Company Paid (Health Savings Account) HSA Contribution when enrolled in the High Deductible Aetna medical plan with HSA Healthcare and Dependent Care Flexible Spending Accounts (FSA) LGBTQ+ care concierge services 401(k) with employer match, Employee Stock Purchase Plans, and other financial benefits Company paid Basic Life, AD&D, short-term and long-term disability insurance Employee Assistance Program Sick and Vacation time (Flex time for salary positions), and Paid Holidays Back-up childcare and parenting support resources Voluntary benefits to include: critical illness, hospital indemnity, accident insurance, theft & legal services, and pet insurance Weight Loss and Tobacco Cessation Programs Tesla Babies program Commuter benefits Employee discounts and perks program Expected Compensation $84,000 - $276,000/annual salary + cash and stock awards + benefits Pay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience.
The total compensation package for this position may also include other elements dependent on the position offered.
Details of participation in these benefit plans will be provided if an employee receives an offer of employment.
Tesla is an Equal Opportunity / Affirmative Action employer committed to diversity in the workplace.
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, age, national origin, disability, protected veteran status, gender identity or any other factor protected by applicable federal, state or local laws.
Tesla is also committed to working with and providing reasonable accommodations to individuals with disabilities.
Please let your recruiter know if you need an accommodation at any point during the interview process.
• Phone : NA
• Location : Palo Alto, CA
• Post ID: 9097752559
