Head of System Modeling

About the role

The Systems Modeling Team at Zipline is responsible for developing physics-based models to architect and optimize aircraft and the supporting logistics system. This includes translating technical conversations into rigorous engineering problems, optimizing fleet operations, and linking operational decisions with customer-facing outcomes.

Responsibilities

• Lead a team of high-caliber engineers applying analytical skills at both the product architectural and fleet operations level.
• Guide and accelerate key decisions during many phases of engineering development and scaling.
• Challenge assumptions and requirements, especially those driving the most cost and complexity.
• Build and maintain models that close the loop between product performance goals and hardware/software requirements.
• Explore the space of mission types, sub-system faults, and other key events to understand their impact on the system.
• Optimize the operational efficiency of the Zipline fleet, directly impacting our customers.

Requirements

• Demonstrated experience building mathematical models and modeling frameworks, across languages, methods, and tools.
• Deep programming experience in Python, MATLAB, or Rust.
• An understanding of numerical methods.
• Strong convictions about the defining attributes of high-quality code tools.
• Experience integrating simulation tools across platforms and software languages.
• A mastery of engineering and physics fundamentals: Energy and power, Dynamics (kinematics, forces, moments, acceleration/rotation), Fluids and aerodynamics, Heat transfer and thermodynamics.
• Experience in fleet-level simulations and optimization.
• Range Modeling, Throughput Modeling, Network Modeling, and System-level Optimization.
• Fluency in system-level optimization.
• An ability to distill an open-ended topic into a rigorously framed problem statement.
• A familiarity with a variety of solution techniques, and the ability to identify an appropriate technique for a given problem.
• Comfort with practical considerations in embedded algorithm design.
• An ability to interpret complex datasets that span multiple physical realms.
• Experience designing test campaigns for model validation.
• Familiarity with practical considerations in embedded algorithm design.
• An ability to interpret complex datasets that span multiple physical realms.
• Experience designing test campaigns for model validation.
• Familiarity with practical considerations in embedded algorithm design.
• An ability to interpret complex datasets that span multiple physical realms.
• Experience designing test campaigns for model validation.
• Familiarity with practical considerations in embedded algorithm design.
• An ability to interpret complex datasets that span multiple physical realms.
• Experience designing test campaigns for model validation.
• Familiarity with practical considerations in embedded algorithm design.
• An ability to interpret complex datasets that span multiple physical realms.
• Experience designing test campaigns for model validation.
• Familiarity with practical considerations in embedded algorithm design.
• An ability to interpret complex datasets that span multiple physical realms.
• Experience designing test campaigns for model validation.
• Familiarity with practical considerations in embedded algorithm design.
• An ability to interpret complex datasets that span multiple physical realms.
• Experience designing test campaigns for model validation.
• Familiarity with practical considerations in embedded algorithm design.
• An ability to interpret complex datasets that span multiple physical realms.
• Experience designing test campaigns for model validation.
• Familiarity with practical considerations in embedded algorithm design.
• An ability to interpret complex datasets that span multiple physical realms.
• Experience designing test campaigns for model validation.
• Familiarity with practical considerations in embedded algorithm design.
• An ability to interpret complex datasets that span multiple physical realms.
• Experience designing test campaigns for model validation.
• Familiarity with practical considerations in embedded algorithm design.
• An ability to interpret complex datasets that span multiple physical realms.
• Experience designing test campaigns for model validation.
• Familiarity with practical considerations in embedded algorithm design.
• An ability to interpret complex datasets that span multiple physical realms.
• Experience designing test campaigns for model validation.
• Familiarity with practical considerations in embedded algorithm design.
• An ability to interpret complex datasets that span multiple physical realms.
• Experience designing test campaigns for model validation.
• Familiarity with practical considerations in embedded algorithm design.
• An ability to interpret complex datasets that span multiple physical realms.
• Experience designing test campaigns for model validation.
• Familiarity with practical considerations in embedded algorithm design.
• An ability to interpret complex datasets that span multiple physical realms.
• Experience designing test campaigns for model validation.
• Familiarity with practical considerations in embedded algorithm design.
• An ability to interpret complex datasets that span multiple physical realms.
• Experience designing test campaigns for model validation.
• Familiarity with practical considerations in embedded algorithm design.
• An ability to interpret complex datasets that span multiple physical realms.
• Experience designing test campaigns for model validation.
• Familiarity with practical considerations in embedded algorithm design.
• An ability to interpret complex datasets that span multiple physical realms.
• Experience designing test campaigns for model validation.
• Familiarity with practical considerations in embedded algorithm design.
• An ability to interpret complex datasets that span multiple physical realms.
• Experience designing test campaigns for model validation.
• Familiarity with practical considerations in embedded algorithm design.
• An ability to interpret complex datasets that span multiple physical realms.
• Experience designing test campaigns for model validation.
• Familiarity with practical considerations in embedded algorithm design.
• An ability to interpret complex datasets that span multiple physical realms.
• Experience designing test campaigns for model validation.
• Familiarity with practical considerations in embedded algorithm design.
• An ability to interpret complex datasets that span multiple physical realms.
• Experience designing test campaigns for model validation.
• Familiarity with practical considerations in embedded algorithm design.
• An ability to interpret complex datasets that span multiple physical realms.
• Experience designing test campaigns for model validation.
• Familiarity with practical considerations in embedded algorithm design.
• An ability to interpret complex datasets that span multiple physical realms.
• Experience designing test campaigns for model validation.
• Familiarity with practical considerations in embedded algorithm design.
• An ability to interpret complex datasets that span multiple physical realms.
• Experience designing test campaigns for model validation.
• Familiarity with practical considerations in embedded algorithm design.
• An ability to interpret complex datasets that span multiple physical realms.
• Experience designing test campaigns for model validation.
• Familiarity with practical considerations in embedded algorithm design.
• An ability to interpret complex datasets that span multiple physical realms.
• Experience designing test campaigns for model validation.
• Familiarity with practical considerations in embedded algorithm design.
• An ability to interpret complex datasets that span multiple physical realms.
• Experience designing test campaigns for model validation.
• Familiarity with practical considerations in embedded algorithm design.
• An ability to interpret complex datasets that span multiple physical realms.
• Experience designing test campaigns for model validation.
• Familiarity with practical considerations in embedded algorithm design.
• An ability to interpret complex datasets that span multiple physical realms.
• Experience designing test campaigns for model validation.
• Familiarity with practical considerations in embedded algorithm design.
• An ability to interpret complex datasets that span multiple physical realms.
• Experience designing test campaigns for model validation.
• Familiarity with practical considerations in embedded algorithm design.
• An ability to interpret complex datasets that span multiple physical realms.
• Experience designing test campaigns for model validation.
• Familiarity with practical considerations in embedded algorithm design.
• An ability to interpret complex datasets that span multiple physical realms.
• Experience designing test campaigns for model validation.
• Familiarity with practical considerations in embedded algorithm design.
• An ability to interpret complex datasets that span multiple physical realms.
• Experience designing test campaigns for model validation.
• Familiarity with practical considerations in embedded algorithm design.
• An ability to interpret complex datasets that span multiple physical realms.
• Experience designing test campaigns for model validation.
• Familiarity with practical considerations in embedded algorithm design.
• An ability to interpret complex datasets that span multiple physical realms.
• Experience designing test campaigns for model validation.
• Familiarity with practical considerations in embedded algorithm design.
• An ability to interpret complex datasets that span multiple physical realms.
• Experience designing test campaigns for model validation.
• Familiarity with practical considerations in embedded algorithm design.
• An ability to interpret complex datasets that span multiple physical realms.
• Experience designing test campaigns for model validation.
• Familiarity with practical considerations in embedded algorithm design.
• An ability to interpret complex datasets that span multiple physical realms.
• Experience designing test campaigns for model validation.
• Familiarity with practical considerations in embedded algorithm design.
• An ability to interpret complex datasets that span multiple physical realms.
• Experience designing test campaigns for model validation.
• Familiarity with practical considerations in embedded algorithm design.
• An ability to interpret complex datasets that span multiple physical realms.
• Experience designing test campaigns for model validation.
• Familiarity with practical considerations in embedded algorithm design.
• An ability to interpret complex datasets that span multiple physical realms.
• Experience designing test campaigns for model validation.
• Familiarity with practical considerations in embedded algorithm design.
• An ability to interpret complex datasets that span multiple physical realms.
• Experience designing test campaigns for model validation.
• Familiarity with practical considerations in embedded algorithm design.
• An ability to interpret complex datasets that span multiple physical realms.
• Experience designing test campaigns for model validation.
• Familiarity with practical considerations in embedded algorithm design.
• An ability to interpret complex datasets that span multiple physical realms.
• Experience designing test campaigns for model validation.
• Familiarity with practical considerations in embedded algorithm design.
• An ability to interpret complex datasets that span multiple physical realms.
• Experience designing test campaigns for model validation.
• Familiarity with practical considerations in embedded algorithm design.
• An ability to interpret complex datasets that span multiple physical realms.
• Experience designing test campaigns for model validation.
• Familiarity with practical considerations in embedded algorithm design.
• An ability to interpret complex datasets that span multiple physical realms.
• Experience designing test campaigns for model validation.
• Familiarity with practical considerations in embedded algorithm design.
• An ability to interpret complex datasets that span multiple physical realms.
• Experience designing test campaigns for model validation.
• Familiarity with practical considerations in embedded algorithm design.
• An ability to interpret complex datasets that span multiple physical realms.
• Experience designing test campaigns for model validation.
• Familiarity with practical considerations in embedded algorithm design.
• An ability to interpret complex datasets that span multiple physical realms.
• Experience designing test campaigns for model validation.
• Familiarity with practical considerations in embedded algorithm design.
• An ability to interpret complex datasets that span multiple physical realms.
• Experience designing test campaigns for model validation.
• Familiarity with practical considerations in embedded algorithm design.
• An ability to interpret complex datasets that span multiple physical realms.
• Experience designing test campaigns for model validation.
• Familiarity with practical considerations in embedded algorithm design