Job Description
Description: The Tesla Energy Products Field Quality & Reliability team ensures the field failure rate of Tesla hardware remains below warranty targets through driving failure analysis priorities, investigations and product improvements. We are looking for a Sr. Field Reliability Engineer to make data-driven decisions to monitor and improve the field quality and performance of Tesla products. The team collects real-time data from the fleet of products such as Megapack, Powerwall, Solar Roof and Superchargers, and is responsible for retrieving, analyzing, and summarizing impacts on lifetime performance to cross-functional teams to enable decision making for the development and implementation of improvements.
Responsibilities: Build robust, flexible, and automated software tools to enable complex analysis of real-time fleet Apply statistical analysis to test (accelerated life) and field (life) data to inform reliability physics modeling/analyses and associated corrective actions Answer complex questions on fleet usage and behavior to enable proactive monitoring, grow reliability, and minimize field failures Work closely with Reliability and Design engineers to create/interpret/validate numeric models of fielded and in-test products Contribute to the automation and standardization of our data pipelines Apply statistical analysis such as Weibull failure forecasting, and work closely with engineers on the development of fixes and improvements Monitor the efficacy of mitigation measures Own warranty accrual for the organization by working with engineering, finance and accounting teams
Requirements: Degree in quantitative discipline (e.g., Statistics, Computer Science, Mathematics, Physics, Electrical Engineering, Industrial Engineering) or equivalent experience Strong knowledge of data structures, architectures, and languages such as SQL and Python Solid understanding of statistics (Weibull distribution, Maximum Likelihood Estimation, Bayesian methods, Monte Carlo analysis, etc.) Strong knowledge of physics and engineering principles General Knowledge of data pipelining (Airflow Pipelines, ETL, Py Spark) Experience and interest in data visualization techniques Strong verbal and written communication skills
Compensation & Benefits: Benefits
Along with competitive pay, as a full-time Tesla employee, you are eligible for the following benefits at day 1 of hire: Medical plans > 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 Accounts) HSA Contribution when enrolled in the High-Deductible medical plan with HSA Healthcare and Dependent Care Flexible Spending Accounts (FSA) 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 (90 day waiting period) Employee Assistance Program Sick and Vacation time (Flex time for salary positions, Accrued hours for Hourly 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 $91,600 - $195,600/annual salary + cash and stock awards + benefitsPay 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.