Role Details

Location

Aviary - SSF

Salary

$150,000 - $200,000

Department

Engineering

Type

Full-time

Vertical

Robotics

Hiring Manager

Best Guess

Job Description

About Zipline

Zipline is the world’s largest and most experienced drone delivery service. We are on a mission to serve all humans equally by ensuring access to food, medicine and essential goods anytime, anywhere. We design, build, and operate the world’s largest autonomous logistics system, delivering critical supplies quickly and reliably. Today, Zipline operates on four continents, makes a delivery somewhere in the world every 30 seconds, and has completed millions of deliveries to date, including blood, vaccines, medical supplies, food, and retail products.

Our customers include the world’s largest and most prominent healthcare systems, governments, retailers, restaurants and global businesses who rely on us to save lives, reduce emissions, increase economic opportunity, and provide delivery from point A to point B as fast as possible. The drone is only 15% of what we’ve built to enable seamless, reliable, global operations.

Our system strengthens supply chains, reduces congestion, and gives people time back. With more than 140 million commercial autonomous miles safely flown, Zipline is redefining access to healthcare, consumer products, and food across the globe.

We operate at a global scale and are looking for practical problem solvers who thrive on real-world challenges and rapid growth. Our team is motivated by building systems that have a direct, meaningful impact on people’s lives and by scaling the future of logistics. We are seeking people who sculpt from first principles, enjoy facing adversity, and can do the impossible at record breaking speeds.

About You and the Role

Zipline is building the world’s largest autonomous logistics system, delivering vital medical and commercial supplies across the globe. As we scale our operations and extend into more complex, safety-critical environments, the ability to validate and prove our autonomy performance at scale becomes absolutely essential.

We’re looking for a deeply technical software engineer to join the Autonomy Validation team — a core team responsible for building the infrastructure, tools, and frameworks that support software validation across the entire Autonomy organization. This includes planning, perception, control, and all of the decision-making logic that powers our self-flying aircraft.

Our autonomy stack is highly custom-built, and while that gives us unmatched control and performance, it also means standard out-of-the-box testing tools don't work. In this role, you’ll take ownership of developing robust internal platforms for validation — enabling both simulation at scale and rigorous scenario testing — so that autonomy engineers can ship with confidence.

This is not a QA role. It’s a foundational software engineering position building critical systems that will directly shape how we test, verify, and deploy autonomy safely around the world.

What You'll Do

Build and own the infrastructure for validating autonomous features and system performance across planning, perception, and control.
Design and develop simulation tools and scenario generation for large-scale and high-fidelity testing of autonomy under real-world and edge-case conditions.
Develop custom tools for validation and testing of autonomy components that plug into our internal autonomy development stack.
Create scalable, reliable, and automated solutions for running, tracking, and analyzing thousands of validation tasks across autonomy org.
Collaborate deeply with:

Autonomy engineers, to understand how system behavior should be evaluated.
Systems and data engineers, to ensure metrics, safety thresholds, and requirements are codified in test infrastructure.
Flight test and QA teams, to connect real-world results back into test tools and CI loops.

Establish best practices for software release validation, helping ensure our autonomy stack is safe, measurable, and production-ready.
Contribute to internal docs, standards, and validation workflows that scale across the autonomy organization.

What You'll Bring

5+ years of experience building systems for testing, simulation, or safety validation — ideally in autonomy, aerospace, robotics, or other real-time, safety-critical environments.
A strong software engineering foundation, including fluency in C++, Rust, C, or C#.
Experience with custom simulation tools, game engines, or scenario generation frameworks.
Familiarity with cloud infrastructure, containers, and distributed execution pipelines (e.g., Docker, Kubernetes, AWS).

A track record of building tools or platforms used by other engineers — infrastructure that enables teams to move fast while maintaining safety and quality.

What Else You Need to Know

The starting cash range for this role is $150,000 - $200,000. 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; overtime pay; 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!