Maps Intern: Path Planning & Spatial Data

Zipline; South San Francisco (CA); On-site; USD 34,000 - 55,000; Full time

Job summary

Zipline, based in South San Francisco, invites you to join the Maps Team as a Summer 2027 intern. You will contribute to an extensible path planning service used for generating routes and to data generation, transformation, and access for flight planning and analytics.

This full‑time, in‑person internship gives hands‑on experience with real‑world routing problems, collaborating across teams, and learning how geospatial data and automated testing underpin safe, scalable autonomous delivery.

Qualifications

• Must have at least completed the second year of your Undergraduate studies. Masters and PhD students are also eligible
• Strong analytical and technical problem solving skills
• Deep understanding of algorithmic optimization
• Proficient coding and programming skills
• Understanding of automated testing practices
• Preferred experience supporting or developing novel algorithmic research
• Preferred experience with spatial data

Responsibilities

• Work on services that generate routes and spatial planning artifacts
• Use tools to visualize and evaluate geospatial features that impact serviceability
• Work with teams to make spatial data accessible instantaneously anywhere in the world
• Improve planning algorithms to make routing fast, safe, and reliable

Skills

Second-year undergrad

Analytical skills

Algorithm optimization

Programming skills

Automated testing

Algorithmic research

Spatial data

Education

Second year undergraduate

Job description

Zipline, based in South San Francisco, invites you to join the Maps Team as a Summer 2027 intern. You will contribute to an extensible path planning service used for generating routes and to data generation, transformation, and access for flight planning and analytics.

This full‑time, in‑person internship gives hands‑on experience with real‑world routing problems, collaborating across teams, and learning how geospatial data and automated testing underpin safe, scalable autonomous delivery.