Zipline Logo

Zipline

Staff Controls Engineer

Reposted 18 Days Ago
Be an Early Applicant
In-Office
South San Francisco, CA, USA
Senior level
In-Office
South San Francisco, CA, USA
Senior level
Lead development and validation of dynamic models, controls algorithms, and high-fidelity six-degree-of-freedom simulations. Analyze flight-test and fleet data to improve model fidelity, evaluate vehicle designs, recommend controls and system improvements, and build reusable analysis tools to inform engineering and operational decisions.
The summary above was generated by AI
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 builds, manufactures, and operates autonomous delivery systems that move critical goods where they are needed. The Controls team develops the models, tools, and flight software foundations that allow aircraft to complete missions autonomously across changing conditions. As a Staff Controls Engineer, you will own system-performance analysis for vehicle designs and help turn flight and fleet data into better models, design decisions, and operational capability. You will work closely with controls, flight test, hardware, manufacturing, and customer-facing teams to identify where performance limits matter most and drive technical improvements.

What You'll Do 

• Own dynamic models of complex vehicle systems and components within Zipline’s high-fidelity six-degree-of-freedom simulation.
• Build controls algorithms that are robust, performant, fault tolerant and own the development, testing, analysis and deployment of the same.
• Define analysis approaches that connect design choices, requirements, limitations, and environmental conditions to vehicle performance.
• Evaluate existing and future vehicle designs through simulation, flight-test data, and data from customer aircraft in the global fleet.
• Improve simulation fidelity by reconciling model predictions with observed flight behavior and identifying the highest-value gaps.
• Lead technical recommendations for controls, vehicle, and system design improvements with software, hardware, flight test, and manufacturing partners.
• Build reusable analysis tools that enable teams to investigate performance questions, compare design options, and make informed tradeoffs.
• Translate operational and customer insights into engineering priorities that improve the reliability and capability of the logistics network.

What You'll Bring

• Demonstrated expertise in controls, flight dynamics, system identification, or modeling of complex physical systems.
• Experience developing and using high-fidelity simulations to evaluate system performance and guide engineering decisions.
• Experience analyzing experimental or flight-test data and using evidence to validate models or improve designs.
• Ability to lead ambiguous technical problems from framing through analysis, recommendation, and cross-functional execution.
• Strong engineering judgment about model assumptions, uncertainty, validation limits, and design tradeoffs.
• Clear written and verbal communication skills for explaining technical findings to engineering and operational partners.
• Comfort working closely with flight-test teams, global fleet data, and customer context to understand real-world system behavior.

What Else You Need To Know

The starting cash range for this role is $180,000 - $230,000. 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, 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.

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!

Voluntary Self-Identification

For government reporting purposes, we ask candidates to respond to the below self-identification survey. Completion of the form is entirely voluntary. Whatever your decision, it will not be considered in the hiring process or thereafter. Any information that you do provide will be recorded and maintained in a confidential file.

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.

HQ

Zipline South San Francisco, California, USA Office

South San Francisco, CA, United States

Zipline Half Moon Bay, California, USA Office

Half Moon Bay, United States

Similar Jobs

6 Hours Ago
In-Office
San Francisco, CA, USA
150K-190K Annually
Senior level
150K-190K Annually
Senior level
Artificial Intelligence • Software • Energy • Defense
Leads instrumentation and controls engineering for mineral refining equipment and plant-wide systems from concept through commissioning and operations handover. Manages equipment providers, licensors, engineering firms, procurement, installation, calibration, inspections, QA/QC, startup, and troubleshooting. Drives scale-up of novel refining processes, supports machine learning and advanced control development, mentors junior engineers, and contributes to capital project execution and engineering team growth.
Top Skills: AnalyzersControl System ProgrammingHmi ProgrammingIndustrial AutomationInstrumentation And Controls SystemsInstrumentsMachine LearningMeasurement TechnologyP&IdsPlant OptimizationValves
6 Hours Ago
In-Office
San Francisco, CA, USA
150K-190K Annually
Senior level
150K-190K Annually
Senior level
Artificial Intelligence • Software • Energy • Defense
Lead controls and instrumentation engineering for novel mineral refining facilities from concept through commissioning, ramp, and handover. Manage equipment providers, licensors, engineering firms, and cross-functional technical teams. Oversee instrument, valve, analyzer, network, and control-system selection and installation; support industrial machine-learning optimization and workflow automation. Mentor junior engineers and contribute to medium-to-large capital project execution, plant-network security, and development of the internal engineering team.
Top Skills: Fiber-Optic NetworkingIgnitionIndustrial Control SystemsMachine LearningPlant Networking
Yesterday
In-Office
San Jose, CA, USA
152K-218K Annually
Senior level
152K-218K Annually
Senior level
Energy
Leads end-to-end integration of third-party hardware with controls platforms. Defines communication interfaces, architects external equipment interactions, aligns vendors, resolves system-level risks, and develops validation strategies and integration testing tools. Partners with controls, systems, and field teams to support reliable deployments while establishing scalable integration frameworks and best practices.
Top Skills: CanModbusMqtt

What you need to know about the San Francisco Tech Scene

San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.

Key Facts About San Francisco Tech

  • Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Google, Apple, Salesforce, Meta
  • Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
  • Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
  • Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account