Senior Systems Modeling and Optimization Engineer

Posted 22 Days Ago
Be an Early Applicant
South San Francisco, CA
Junior
Aerospace • Hardware • Logistics • Robotics • Software • Transportation
Zipline democratizes access to critical medical supplies through instant drone delivery.
The Role
The Systems Modeling and Optimization Engineer will develop physics-based models to optimize aircraft and logistics systems. They will analyze data to improve performance, design efficient operations, and explore mission types and subsystem faults to understand impacts on performance, ultimately guiding engineering decisions.
Summary Generated by Built In

About Zipline

Do you want to change the world? Zipline is on a mission to transform the way goods move. Our aim is to solve the world’s most urgent and complex access challenges by building, manufacturing and operating the first instant delivery and logistics system that serves all humans equally, wherever they are. From powering Rwanda’s national blood delivery network and Ghana’s COVID-19 vaccine distribution, to providing on-demand home delivery for Walmart, to enabling healthcare providers to bring care directly to U.S. homes, we are transforming the way things move for businesses, governments and consumers.

The technology is complex but the idea is simple: A teleportation service that delivers what you need, when you need it. Using robotics and autonomy, we are decarbonizing delivery, decreasing road congestion, and reducing fossil fuel consumption and air pollution, while providing equitable access to billions of people and building a more resilient global supply chain.

Join Zipline and help us to make good on our promise to build an equitable and more resilient global supply chain for billions of people.

About the Systems Modeling Team

The Systems Modeling Team has tremendous power to shape Zipline’s products. We develop physics-based models and use them to architect and optimize our aircraft, as well as the supporting logistics system. Through simulation, we can rapidly explore a vast array of design options for future products, and we can find ways to wring more performance out of our existing products. 

Systems Modeling brings diverse teams and fields together (e.g. mechanical, aerodynamics, electrical, battery chemistry, thermal, controls, fleet operations, economics) to gain new insights. We translate technical conversations into rigorously framed engineering problems. We value asking pertinent questions and generating coherent answers. 

The Role

You will apply analytical skills at both the product architectural level and the fleet operations level. Your contributions will guide and accelerate key decisions during many phases of engineering development. 

Fundamentally, you will build and maintain models that close the loop between aircraft performance goals and hardware requirements. For example, this might consist of an aircraft model with subcomponents for motors, inverters, propellers, wings, batteries, position/orientation controllers and more. You’ll zoom in on the finer points of each subsystem: Should the propulsive motor be mated to a gearbox? How can we design it to supply sufficient torque without overheating, while weighing as little as possible? What type of battery chemistry should be selected, in light of requirements for lifetime, mass, power capability, and energy? You’ll ask critical questions at the system level: How much range is an acceptable trade-off for payload mass? How does unfavorable weather impact aircraft performance capabilities? You’ll explore the vast space of mission types, subsystem faults, and other key events to understand their impact on the system.

You’ll also optimize the operational efficiency of the fleet, directly impacting our customers. What is the smallest number of aircraft that can effectively support a given service area? How might we maximize throughput of a shipper site by intelligently scheduling pre-planned orders? How should we manage battery charging, given competing objectives of battery life versus charging speed? Is it best to avoid windier parts of the day, or is it ultimately too costly to sit idle? Your model-driven analysis will link operational decisions with customer-facing outcomes. 

What You'll Bring 

  • A track record of problem-solving and product improvement through model-based analysis. You know how to pose the right questions that get to the core of the challenge at hand.
  • A strong understanding of fundamental physics:
    • Energy and power
    • Heat transfer and thermodynamics
    • Electrical circuits
    • Fluids and aerodynamics
    • Dynamics (kinematics, forces, moments)
  • Demonstrated modeling experience across languages, methods, and tools. Bring your deep understanding of the universal aspects of building and utilizing system models.
  • Experience using at least one of the following: Python, Julia or MATLAB.
  • A basic understanding of numerical methods and optimization fundamentals — with the curiosity and drive to learn more.
  • Knowledge of basic control systems, e.g. thermal, electrical or mechanical.
  • Experience interacting with complex datasets that span multiple physical realms.
  • Experience designing test campaigns for empirical model validation.
  • Excellent communication skills, especially when it comes to explaining a complex system in simple terms.
  • An ability to connect and condense information from disparate sources into a succinct summary. You’re able to create information-rich, yet accessible presentations and documentation that bring teams together. 

Nice to have:

  • An understanding of batteries, electric motors, and/or aircraft dynamics; and typical approaches to modeling them

What Else You Need to Know   

The starting cash range for this role is $135,000 - $210,000. Please note that this is a target, starting cash range for a candidate who meets the minimum qualifications for this role. The final cash pay for this role will depend on a variety of factors, including a specific candidate's experience, qualifications, skills, working location, and projected impact. The total compensation package for this role may also include: equity compensation; discretionary annual or performance bonuses; sales incentives; benefits such as medical, dental and vision insurance; paid time off; and more.

Zipline is an equal opportunity employer and prohibits discrimination and harassment of any type without regard to race, color, ancestry, national origin, religion or religious creed, mental or physical disability, medical condition, genetic information, sex (including pregnancy, childbirth, and related medical conditions), sexual orientation, gender identity, gender expression, age, marital status, military or veteran status, citizenship, or other characteristics protected by state, federal or local law or our other policies.

We value diversity at Zipline and welcome applications from those who are traditionally underrepresented in tech. If you like the sound of this position but are not sure if you are the perfect fit, please apply!

Top Skills

Julia
Matlab
Python
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The Company
HQ: South San Francisco, CA
375 Employees
Hybrid Workplace
Year Founded: 2014

What We Do

Zipline is the world's largest autonomous delivery network and is powered entirely by fixed-wing drones. Our fleet circles the equivalent distance of the equator every 2.5 days, and we have shipped hundreds of thousands of critical medical products across Rwanda, Ghana, and now beginning in the United States.

Why Work With Us

Zipline is the perfect intersection of super cutting-edge tech, deep social mission, and extremely compelling business case. Our small, scrappy, customer-obsessed, humble, and mission-driven team has set the bar for what is possible in the drone logistics industry globally, and has designed some incredibly elegant technology in the process.

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