About The Position

Joby Aviation is excited to welcome a passionate graduate student to join our Reliability team as a Reliability Engineering Intern for Summer 2026. As a Reliability Engineering Intern, you will work closely with Reliability, Systems, and Flight Test teams to support data-driven reliability analysis. You will help establish scalable frameworks for collecting, organizing, and analyzing system-level test and flight data to enable reliability insights and continuous health monitoring. This role is ideal for students interested in reliability engineering, data analysis, and aerospace testing, with hands-on exposure to both ground and flight test environments. If you're eager to apply your skills in a dynamic, mission-driven environment, we'd love to have you on board!

Requirements

  • Currently pursuing a MS or PhD degree in Mechanical Engineering, Aerospace Engineering, Electrical Engineering, Systems Engineering, Data Science, or a related field. Rising juniors or above enrolled in a bachelor's degree program are also welcome to apply.
  • Strong analytical skills with interest in data-driven engineering.
  • Familiarity with data analysis tools (Python, MATLAB, Excel, SQL, or similar).
  • Ability to work with large datasets and draw clear technical insights.
  • Strong communication skills and ability to collaborate across teams.

Nice To Haves

  • Exposure to reliability engineering concepts (FMEA, MTBF, Weibull analysis, failure tracking, accelerated life testing, RCA).
  • Experience with analysis of time-series test, flight, or sensor data.
  • Familiarity with dashboards or data visualization tools (Tableau, Power BI, Python plotting libraries).
  • Interest in aerospace systems, testing, or electric aircraft.
  • Experience with mechanical, electrical, or energy storage systems for electric propulsion.

Responsibilities

  • Gather and organize data from system-level ground and environmental testing.
  • Help develop a structured framework to support reliability analysis (e.g., failure tracking, usage profiles, test conditions).
  • Support correlation of test data to design requirements and reliability metrics (MTBF, failure rates, trends).
  • Assist in tracking and organizing flight test and reliability test data across multiple systems.
  • Develop dashboards, trackers, or databases to improve data visibility and traceability.
  • Support analysis of test results to identify reliability risks, anomalies, and improvement opportunities.
  • Assist in data analysis focused on identifying actionable solutions to issues at the component, system, fleet, and process level.
  • Support development of continuous health monitoring (CHM) concepts using test and flight data.
  • Help identify key health indicators, thresholds, and trends for critical systems.
  • Collaborate with cross-functional teams to translate data insights into actionable reliability improvements.
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