Tesla's fleet analytics effort centers on turning field data into actionable insights that inform design and reliability across programs. In this data engineering role focused on cell quality and field reliability, you will build scalable data pipelines, analyze field failures, and deliver insights to engineering and leadership across programs.
Location: Fremont, CA (onsite) • Salary: USD 120,000 - 180,000 per year • Education: Bachelor's Degree
Responsibilities
- Conduct comprehensive data studies on field failures and correlations with upstream cell manufacturing processes; develop test models to ensure accurate detection and appropriate outlier rejection for field rejects.
- Identify trends from field return data and quantify reliability risks for diagnostics of key signals and metrics, including potential deviations from cell or firmware specifications.
- Analyze Field Reliability and Quality data for cell-related failures and failure modes to forecast expected failure rates and affected populations; verify effectiveness of corrective actions at Tesla and with suppliers.
- Build scalable, reliable pipelines to deploy, test, and monitor performance metrics of models in a production environment.
- Produce clear data visualizations, author technical presentations, and summarize high-impact findings into strategic insights for engineering and leadership.
Requirements
- Bachelor's Degree in Data Science, Data Analytics, Computer Science, Information Systems, Software Engineering or equivalent experience
- Experience with multiple data architectures (MySQL, Microsoft SQL, MongoDB, Kafka, Hadoop, HBase, Spark)
- Knowledge of ETL orchestration tools such as Airflow
- Experience with data visualization platforms like Tableau or Power BI
- Proficiency in Python for time-series analysis and applied statistics (inference, anomaly detection, etc.)
- Experience with model training frameworks and modern machine learning concepts, including production-ready workflows
- Excellent verbal and written communication skills to translate complex data solutions into business impact
- Strong follow-through and organizational discipline, able to manage multiple projects and drive them to resolution
Technologies
- MySQL
- Microsoft SQL
- MongoDB
- Kafka
- Hadoop
- HBase
- Spark
- Airflow
- Tableau
- Power BI
- Python
What to Expect
The Cell Quality team is a small group within R&D responsible for incoming, production, and field reliability aspects of Li-ion cell programs across all Tesla platforms, including Model 3, Model Y, Cybertruck, Semi, and Energy products. The role focuses on daily fleet diagnostics and analytics, along with process-improvement recommendations derived from fleet data and known field returns. The candidate will lead or support quality-focused initiatives tied to fleet performance.
Expected Compensation
USD 120,000 - 180,000 per year, plus cash and stock awards, and benefits. Pay offered may vary based on location, job-related knowledge, skills, and experience; total compensation may include additional elements dependent on the offered position.
Compensation & Benefits
- Medical plans with plan options and $0 payroll deduction
- Family-building, fertility, adoption, and surrogacy benefits
- Dental (including orthodontics) and vision plans with $0 paycheck contributions
- Company-paid Health Savings Account (HSA) contributions when enrolled in a HDHP with HSA
- Healthcare and Dependent Care Flexible Spending Accounts (FSA)
- 401(k) with employer match and Employee Stock Purchase Plans
- Company-paid Basic Life and AD&D insurance
- Short-term and long-term disability insurance (90-day waiting period)
- Employee Assistance Program
- Sick and vacation time, paid holidays, and flexible time for salaried roles
- Back-up childcare and parenting support resources
- Voluntary benefits including critical illness, hospital indemnity, accident insurance, and more
- Weight loss and tobacco cessation programs
- Tesla Babies program and commuter benefits
- Employee discounts and perks program
