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About the Role
As a Flight Test Engineering Intern, you will analyze flight test data logs to determine test effectiveness, identify root causes of success/failure, and track performance trends. You will also contribute to the design of new flight test campaigns, defining test scope, methods, and data post-processing. This role offers hands-on experience with autonomy software, data analysis, and systems engineering in the validation of complex robotic systems.
Responsibilities
- Analyze flight test data logs using custom scripts (Python, DataBricks, SQL) to identify anomalies, assess reliability, track performance trends, and perform regression analyses.
- Design, oversee the execution, and review the results of software validation and flight test campaigns to ensure new features perform as intended and prevent hardware/software regression.
- Daily test and monitor the develop branch to quickly surface instability and potential future issues.
- Collaborate with cross-functional partners (GNC, Aerodynamics, Structures, Systems Engineering) to ensure system-level requirements are clear, measurable, and that vehicle changes are mature for flight testing.
- Define or develop novel test infrastructure, including application-based tools to support flight testing, new instrumentation systems, or modified flight control software, to collect auxiliary data in flight.
- Establish and maintain documentation, dashboards, and SQL search queries to track test progress and operational efficiency.
- Own any aspect of flight operations (preflight, launch, flight maneuvers, incident reporting) or supervise these activities with the flight operations team.
Requirements
- Must have completed the second year of undergraduate studies in physics, mathematics, mechanical, aerospace, system engineering, computer science, electrical engineering or related fields.
- Masters and PhD students are also eligible.
- Strong mathematical and physics background.
- Experience in autonomous vehicle/robotic system integration and testing work.
- Experience in data process, visualization.
- Strong written and verbal communication skills.
Skills
- Python
- DataBricks
- SQL
- Data analysis
- Systems engineering
- Robotic system integration
- Robotic system testing
- Data process
- Data visualization
Location
- South San Francisco
Work Type
- Full-time
- In-person
Experience Level
- Intern
Education Level
- Undergraduate
- Masters
- PhD
Benefits
- Relocation support
- Housing stipend
- Overtime pay
- Paid sick time
About the Company
- Zipline is the world’s largest and most experienced drone delivery service, aiming to serve all humans equally by ensuring access to essential goods anytime, anywhere.
- They design, build, and operate the world’s largest autonomous logistics system, delivering critical supplies quickly and reliably.
- Zipline operates on four continents, making a delivery every 30 seconds and has completed millions of deliveries.
- Customers include prominent healthcare systems, governments, retailers, restaurants, and global businesses.
- The company's system strengthens supply chains, reduces congestion, and has safely flown over 140 million commercial autonomous miles.
- Zipline is redefining access to healthcare, consumer products, and food globally.
- They are looking for practical problem solvers who thrive on real-world challenges and rapid growth, motivated by building systems with meaningful impact and scaling the future of logistics.
Equal Opportunity
- Zipline is an equal opportunity employer and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws or our own sensibilities.
- Zipline is also committed to providing reasonable accommodations to individuals with disabilities.
- As set forth in Zipline’s Equal Employment Opportunity policy, we do not discriminate on the basis of any protected group status under any applicable law.