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

Work Location: This role would be Hybrid 3 days a week in office out of our San Mateo, California office. We are quite flexible on the days but all employees would be expected to be able to commute to our office 3 days a week or would be open to relocation closer to the office.  We offer candidates relocation packages to help with this move.

Compensation: At Skydio, our compensation packages for full-time employees include competitive base salaries, equity in the form of options, comprehensive benefits, and various incentives and stipends. Compensation will vary based on factors, including skill level, proficiencies, transferable knowledge, and experience. Relocation assistance may also be provided for eligible roles. The annual base salary range for this position is $170,000 - 258,000*. Fundamentally, we believe that equity is the key to long-term financial growth, and we ensure all full-time employees have the opportunity to significantly benefit from the company’s success.

*Compensation for certain positions may vary based on the candidate’s location.

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