#1 manufacturer of enterprise & consumer camera drones in the U.S. and world leader in autonomous flight.
drones • autonomy • robotics • inspection • machine learning
March 20
🏢 In-office - Bay Area
#1 manufacturer of enterprise & consumer camera drones in the U.S. and world leader in autonomous flight.
drones • autonomy • robotics • inspection • machine learning
• 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.
• 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 $187,000 - $236,500. 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.
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