Job Description

The Cell Quality team at Tesla is seeking an engineer to support daily fleet diagnostics and analytics, focusing on process improvements based on fleet data and known field returns. The role involves leading quality-focused multidisciplinary projects and requires strong organizational and analytical skills.

Requirements

Bachelor's Degree in Data Science, Data Analytics, Computer Science, Industrial Engineering, Mechanical Engineering, Materials Science, or equivalent experience
2+ years of applied industry experience in relevant role
Strong SQL, Python queries for data analytics, applied knowledge of statistical analysis
Experience building optimal ETL data pipelines across structured and unstructured data sources
Strong data visualization skills using Tableau/JMP and Python packages
Working knowledge of Big Data technologies like Hadoop ecosystem
Excellent verbal and written communication skills
Quality control experience in test/manufacturing environment
Design of experiments for process optimization

Responsibilities

Perform extensive data study on all field failures and correlation studies with upstream cell manufacturing process
Identify trends from field return data and quantify reliability risks for diagnostics of key critical signals/metrics
Create data visualizations to communicate analysis results with cross-functional teams
Analyze Field Reliability/Quality data for cell related failures and failure modes
Produce cogent and intelligible data visualizations, author technical presentations and summarize high-impact technical findings

Benefits

Employees at Tesla are often offered day-one coverage with multiple medical options (some at $0 paycheck cost), dental/vision, company HSA contributions, a 401(k) match, and equity programs. Most roles also include paid time off and holidays, family-building support, employee assistance, commuter and childcare benefits, and access to discounts and wellness programs.