Energy & Powertrain Engineering at Tesla in Palo Alto, California

Tesla
Published
September 15, 2020
Location
Palo Alto, California
Job Type

Description

Apply You will be redirected to Tesla's preferred application process.

Reliability Data Engineer, Energy & Powertrain Engineering

The Role
Thereliability data team is looking for a Data Scientist/Software Engineer toutilize large-scale data and help Tesla engineers design and validate the mostcompelling and reliable products for our customers. The reliability data teamcollects real-time life data from test and fleet (energy, charging, and vehicleproducts) and is responsible for retrieving, analyzing and summarizing resultsto cross-functional teams. The team provides support through the whole designcycle by building software tools that orchestrate all the reliability physicsanalyses. The level of this position will be determined at the time of theinterview. 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
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 Build visualizations to effectively communicate results. Answer complex questions on fleet usage and behavior to enable proactive monitoring, grow reliability, and minimize field failures
RequirementsBachelor’s degree or higher in quantitative discipline (e.g. Statistics, Computer Science, Mathematics, Physics, Electrical Engineering, Industrial Engineering) or the equivalent in experience and evidence of exceptional ability
Advanced knowledge of Python
Strong knowledge of data structures, architectures and languages such as SQLSolid understanding of statistics (Weibull distribution, Maximum Likelihood Estimation, Bayesian methods, Monte Carlo analysis, etc.)General knowledge of physics and engineering principles
Working knowledge of the Hadoop ecosystem (HDFS, Spark, Presto and HBase)Experience and interest in data visualization techniques (e.g. Matplotlib, Superset, Tableau)Ability to problem solve and adjust priorities with little advance notice to meet deadlines Strong verbal and written communication skills
Nice to have
Experience with developing predictive models on time-series data
Experience using the JIRA ecosystem
Experience with quick web application development (e.g. Flask, JQuery, Angular)Job Category
Engineering & Information Technology
LocationPalo Alto, CaliforniaReq.
ID58406Job Type
Full-time

Job Expires: 2020-12-14
Apply You will be redirected to Tesla's preferred application process.

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