Reliability Engineer, Battery Module

What to Expect

We are seeking a Reliability Engineer with strong software and data engineering skills to design, build, and deploy intelligent tools and platforms that optimize production reliability in Battery Manufacturing. Rather than hands-on equipment maintenance, this role focuses on creating software systems, data pipelines, and AI/ML models that enable reliability teams to minimize downtime, predict failures, and drive continuous improvement at scale. The ideal candidate bridges the gap between reliability engineering principles and modern software development to turn operational data into actionable intelligence.

What You'll Do

Develop Reliability Software & Platforms: Design and build internal tools, applications, and automation workflows that support predictive maintenance programs, while creating integrations with CMMS, SCADA, IoT, and other data sources to deliver unified dashboards and KPI reporting for OEE, MTBF, and MTTR

Engineer Data Pipelines & Analytics: Architect scalable data pipelines that ingest and transform high-volume equipment and production data, then apply statistical analyses such as Weibull and fault tree methods to identify failure patterns and build interactive visualizations that highlight downtime drivers and bottlenecks

Implement AI/ML for Predictive Reliability: Develop and deploy machine learning models for predictive maintenance, anomaly detection, and remaining useful life estimation, while building real-time monitoring systems and iteratively improving failure classification models to accelerate root cause analysis and data-driven corrective actions

Drive Cross-Functional Collaboration & Automation: Partner with Reliability, Maintenance, Production, and Controls Engineering teams to translate operational challenges into software solutions, champion AI-assisted workflows, support Management of Change processes, and automate manual reliability tasks including spare parts analysis, work order triage, and maintenance planning

What You'll Bring

Degree in Computer Science, Software Engineering, Data Science, or a related Engineering field, or equivalent experience

3+ years of experience building software tools, data pipelines, or ML models in a manufacturing, industrial, or operations environment

Strong programming skills in Python (primary); familiarity with SQL and at least one additional language (e.g., JavaScript/TypeScript, Go, Java)

Experience with data engineering tools and frameworks (e.g., Apache Airflow, Spark, dbt, or equivalent). Proficiency with data visualization and BI platforms (Power BI, Tableau, Grafana, or custom-built dashboards)

Solid understanding of reliability engineering concepts: OEE, MTBF, MTTR, RCM, preventive/predictive maintenance strategies, and failure analysis methodologies

Experience with ML/AI frameworks (scikit-learn, TensorFlow, PyTorch) and deploying models to production

Familiarity with time-series analysis, anomaly detection, and predictive maintenance modeling

Experience with cloud platforms (AWS, Azure, or GCP) and containerized deployments (Docker, Kubernetes). Exposure to CMMS platforms (SAP PM, Maximo, Fiix) and industrial IoT/SCADA systems

Knowledge of Lean Manufacturing, Six Sigma, or Reliability-Centered Maintenance (RCM) principles

Experience with version control (Git), CI/CD pipelines, and software development best practices

Compensation and 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

Tesla is also committed to working with and providing reasonable accommodations to individuals with disabilities. Please let your recruiter know if you need an accommodation at any point during the interview process.