Autonomy Software Integration Intern

Socket.dev; South San Francisco (CA); On-site; USD 69,000 - 83,000; Full time

Benefits offered by this job

Housing stipend

Relocation support

Paid sick time

Overtime pay

Job summary

Zipline offers a Software Integration Intern role in the South San Francisco office, combining robotics, data science, and systems engineering. You’ll work with Python, SQL, and visualization tools to analyze data, build dashboards, and support software that powers autonomous aircraft.

The internship emphasizes hands‑on learning in a safety‑critical environment and real‑world impact. You’ll gain exposure to large datasets, data pipelines, and ML concepts while collaborating with cross‑functional

Qualifications

• Pursuing a Bachelor’s or Master’s degree in a technical field.
• Experience with Python for scientific programming.
• Familiarity with SQL for data querying.
• Exposure to data visualization tools.
• Strong communication skills.

Responsibilities

• Analyze datasets from engineering systems and sensors to uncover patterns.
• Design clear charts and dashboards using Python visualization tools.
• Develop and maintain real‑time dashboards tracking key metrics.
• Assist data cleaning and preprocessing for analysis workflows.
• Support ML model development and validation for autonomy applications.
• Learn to build small data pipelines and simulations.
• Assist with scripts and tools to improve workflows and automation.

Skills

Python for data science

SQL querying

Data visualization

Data analysis

Communication

Education

Bachelor’s or Master’s in a technical field

Tools

Matplotlib

Seaborn

Plotly

Tableau

Git

Job description

Zipline offers a Software Integration Intern role in the South San Francisco office, combining robotics, data science, and systems engineering. You’ll work with Python, SQL, and visualization tools to analyze data, build dashboards, and support software that powers autonomous aircraft.

The internship emphasizes hands‑on learning in a safety‑critical environment and real‑world impact. You’ll gain exposure to large datasets, data pipelines, and ML concepts while collaborating with cross‑functional