Autonomy Robotics Intern: Real-World Drone Deliveries

Zipline; South San Francisco (CA); On-site; USD 120,000 - 160,000; Full time

Benefits offered by this job

Housing stipend

Relocation support

Paid sick time

Disability accommodations

Job summary

Zipline is seeking a hands-on contributor to advance an autonomous drone delivery system in real-world environments. You will analyze flight data, design validation experiments, and drive improvements across motion planning and decision making.

You will collaborate with perception, autonomy, and flight testing teams to connect validation insights to field performance and scale deployments. This role blends robotics, ML, and systems engineering in a fast-growing team.

Qualifications

• Master’s in CS, EE, Robotics, or a related field.
• Familiarity with learning-based planning methods.
• Ability to write safe, performant code and learn new languages.
• Strong statistical reasoning and validation mindset.
• Willingness to work in person at Zipline office.

Responsibilities

• Analyze real-world flight data to improve motion planning.
• Design experiments and models to enhance decision making.
• Collaborate with perception, autonomy, and flight testing teams.
• Deploy autonomy insights from validation to live operations.
• Develop tools to evaluate motion planning models.

Job description

Zipline is seeking a hands-on contributor to advance an autonomous drone delivery system in real-world environments. You will analyze flight data, design validation experiments, and drive improvements across motion planning and decision making.

You will collaborate with perception, autonomy, and flight testing teams to connect validation insights to field performance and scale deployments. This role blends robotics, ML, and systems engineering in a fast-growing team.