Jobs · Engineering · Nevada

Reliability Engineer, Battery Module

Tesla · Sparks, NV · Today
On-siteEngineeringFull-time

About the role

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.

Responsibilities

  • 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 MTTREngineer 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

Requirements

  • 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

Qualifications

  • Experience 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

Skills

  • Python

  • SQL

  • Additional languages (e.g., JavaScript/TypeScript, Go, Java)

  • Data engineering tools and frameworks (e.g., Apache Airflow, Spark, dbt, or equivalent)

  • Data visualization and BI platforms (Power BI, Tableau, Grafana, or custom-built dashboards)

  • Machine learning frameworks (scikit-learn, TensorFlow, PyTorch)

  • Cloud platforms (AWS, Azure, or GCP)

  • Containerized deployments (Docker, Kubernetes)

  • CMMS platforms (SAP PM, Maximo, Fiix)

  • Industrial IoT/SCADA systems

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

  • Version control (Git)

  • CI/CD pipelines

Benefits

  • 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

  • Employee Stock Purchase Plans

  • Voluntary benefits to include: critical illness, hospital indemnity, accident insurance, theft & legal services, and pet insurance

  • Tesla Babies program

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