Manufacturing Software Engineer Intern - Winter 2027
About the role
About the role
What makes Skydio different?
- Our drones have the best path-planning and obstacle avoidance thanks to over a decade of R&D in advanced autonomy algorithms.
- We build all parts of the software stack in-house, including embedded systems, middleware, autonomy, cloud infrastructure, manufacturing infrastructure, and automation.
- We design our own hardware to be tightly integrated with our software for maximum performance per gram / per watt.
- We are a U.S. company and manufacture our drones at our factory in California.
As an intern on the Manufacturing Software team, you'll be a core contributor, helping us manufacture high-quality drones, docks and accessories at scale to meet growing customer demands, turning prototypes into finished products. The processes and tools you build will have a significant impact on the company's scale and success. This team is highly cross-functional. It sits at the intersection of backend (Python + Flask), embedded software (C++/C), frontend (React + Typescript), and electrical engineering (Robotics and Hardware Fixtures). If you have strong coding fundamentals, thrive on solving and debugging cross-functional challenges, and are passionate about hardware-software systems, this could be a uniquely rewarding opportunity for learning and professional growth.
Our tech
- Python + Flask backend + on-machine, Protobufs for IPC and RPC
- React + Typescript frontend
- On-premises containerized Linux client machines and servers, AWS backend cloud
- Hardware-in-the-Loop validation systems
- In-house framework for manufacturing and testing operations
Team Project Examples
- Build and maintain a Hardware-in-the-Loop system for continuous testing of the hardware and software components of our drones and build systems.
- Design a deployment system for sending code physical machines all over the globe, inside of challenging and hostile networks, with redundant safety systems.
- Build a visual configuration tool for documenting and changing how mass production processes work and change on the fly.
- Develop our robot calibration process that can distinguish between hardware and software failures and suggest next steps for assembly rework.
- Create a dashboard that visualizes the state of the factory to help engineers debug faster.
- Develop an automated test fixture that assesses sensors and actuators to minimize operator interaction.
How you'll make an impact
- Develop an AI-powered triage system that can inspect drone hardware and suggest which parts need to be repaired. Build a framework that combines LLM agents with our manufacturing API in a loop to test the hardware, and compare results against a growing library of root cause failures and suggested reworks.
What makes you a good fit
- You love having fun building great products and enjoy working on systems that involve both hardware and software
- You are very comfortable with Python and have strong coding fundamentals.
- You're a patient troubleshooter, comfortable asking for help when you need it, and giving help whenever you can.
- You get excited by How It's Made or Factorio and want to get paid to work on the machine that builds the machines.
Compensation Range
Not included in the source posting: qualifications.
Skills
Who can apply
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