Flight Test Engineer: Autonomous Aircraft

DoorDash, Inc.; San Francisco (CA); Presencial; USD 160 000 - 235 000; Tempo integral

Vantagens oferecidas por esta oferta de emprego

Equity grants

401(k) employer match

Paid parental leave

Wellness benefits

Medical/dental/vision

Resumo da oferta

DoorDash Labs is seeking a Flight Test Engineer to plan, execute, and analyze flight tests for next‑generation delivery aircraft. You will own test objectives, instrumentation, safety, and data quality across rapid campaigns, bridging engineering and flight operations with a safety‑first mindset.

The role emphasizes Python/SQL data analysis, test planning, and cross‑functional collaboration with design and systems teams to derive actionable insights for iterative development.

Qualificações

• Bachelor's or advanced degree in Aerospace, Mechanical, or related engineering.
• Strong flight test engineering fundamentals: test planning, instrumentation, data reduction, safe execution.
• Proficiency in Python and SQL for data analysis, tooling, and automation.

Responsabilidades

• Plan, scope, and execute flight tests to evaluate vehicle performance and system reliability.
• Act as the interface between engineering and flight test operations, translating requirements into test objectives.
• Analyze flight test data to assess dynamics and performance, providing actionable insights.

Conhecimentos

Python

SQL

Git

C++

Aerospace knowledge

Data analysis

Formação académica

Bachelor's or advanced degree in Aerospace/Mechanical or related engineering

Ferramentas

Git

Descrição da oferta de emprego

DoorDash Labs is seeking a Flight Test Engineer to plan, execute, and analyze flight tests for next‑generation delivery aircraft. You will own test objectives, instrumentation, safety, and data quality across rapid campaigns, bridging engineering and flight operations with a safety‑first mindset.

The role emphasizes Python/SQL data analysis, test planning, and cross‑functional collaboration with design and systems teams to derive actionable insights for iterative development.