Tesla Looking for Prognostics/Software Engineer, Reliability Engineering at Palo Alto, CA Full Time

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
Requirements

Bachelor’s degree or higher in quantitative discipline (e.g., Physics, Electrical Engineering, Statistics, Computer Science, Mathematics) or the equivalent experience and evidence of exceptional ability

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

Strong verbal and written communication skills

Nice to have

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)

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

$80,000 – $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.

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