Aircraft Software Integration Intern (Summer 2027)

The role

You will assist in analyzing engineering datasets, developing dashboards, and supporting data engineering and machine learning tasks. This role involves working at the intersection of robotics, embedded software, and systems engineering to ensure autonomous aircraft software works reliably.

What you will do

• Analyze datasets from engineering systems and vehicle sensors to support predictive modeling.
• Design charts and dashboards using Matplotlib, Seaborn, Plotly, or Tableau.
• Create and maintain real-time dashboards to track key metrics and system performance.
• Support data cleaning, preprocessing, and organization tasks.
• Write simple SQL queries and work with databases.
• Assist with model development and validation for autonomy applications.
• Apply scientific and engineering programming to develop data pipelines and run simulations.
• Support software-related tasks such as building scripts or tools to improve workflows.

Required qualifications

• Currently pursuing a Bachelor’s or Master’s degree in Mechanical Engineering, Mechatronics, Robotics, Electrical Engineering, Computer Science, or a related technical field.
• Familiarity with Python for scientific programming (libraries such as NumPy, Pandas, SciPy, Plotly, etc.).
• Basic understanding of SQL for querying and working with data.
• Coursework or experience with statistics, linear algebra, or numerical methods.
• Interest in applying engineering and data analysis to solve real-world problems.
• Curiosity and analytical thinking.
• Ability to learn how to frame engineering problems as data science problems.
• Willingness to communicate findings clearly with technical and non-technical teammates.
• Strong written and verbal skills for documentation and presentations.
• Familiarity with machine learning concepts or frameworks (e.g., Scikit-learn, TensorFlow, Keras).
• Some experience from coursework, projects, or self-study in building or experimenting with models.

Nice to have

• Exposure to software development practices (version control with Git, debugging, documentation)
• Prior exposure to robotics systems, automation, or sensor data (through coursework, projects, or clubs)
• Exposure to object-oriented programming (e.g., C++ or Java)
• Familiarity with cloud services (AWS, GCP, Azure) or big data tools (Spark, Hadoop)

Benefits

• housing stipend
• overtime pay
• relocation support
• paid sick time

Before you apply

• Candidates are limited to three (3) applications within a 30-day period.

About the company

Zipline is the world’s largest and most experienced drone delivery service. They design, build, and operate the world’s largest autonomous logistics system to deliver critical supplies.