About the role:

By combining best-in-class autonomy and cloud connected real-time visibility, drones will become critical and ubiquitous infrastructure that can be deployed and monitored in real time to solve a variety of problems faster, cheaper, and safer than ever before.  As a full stack engineer, you will be responsible for building out critical cloud features and infrastructure to make this vision a reality. You will be working across multiple parts of the Skydio stack and delivering new capabilities continuously to our growing consumer and commercial customer base.

How you’ll make an impact:

• Collaborate across functions (product managers, designers, engineers) to design and deliver customer-facing product features that enable enterprise use cases on the Skydio Platform
• Design and implement web backend, APIs, and drone and server-side applications for fleet management, photo and video asset management, 3D reconstruction, and more
• Design secure, efficient, observable, scalable, and robust software for dealing with real-time data and video from fleets of Skydio drones
• Leverage your experience and best practices to not only uphold but improve Skydio’s engineering standards
• Actively contribute towards the 24/7 availability of Skydio’s platforms by joining our rotating on-call schedule

What would make you a good fit:

• You love having fun building great product and enjoy working on systems that involve hardware and software (5+ years of experience preferred)
• You are customer focused and love shipping products quickly that solve customer problems.
• You have demonstrated ability to take a concept and systematically drive it through the software lifecycle: architecture, development, testing, and deployment, and monitoring
• You have experience building and delivering scalable and secure cloud based systems with a high proficiency in modern cloud technologies. 
• Direct experience with our stack (Python, GraphQL, PostgreSQL, AWS, Kubernetes, Typescript).
• You are comfortable navigating and delivering within a complex codebase
• Experience with Machine Learning, Data Pipelining, Computer Vision, GeoSpatial and 3D Systems is a plus

Compensation Range: The annual base salary range for this position is $170,000 - 258,000*. Compensation will vary based on factors, including skill level, proficiencies, transferable knowledge, and experience. In addition to base salary, Skydio full-time employees are eligible to enroll in our benefit plans and take advantage of a variety of incentives and stipends.

*For some positions the pay may be dependent upon the individual’s regional location. 

#LI-AS1