Skydio

Skydio

Software Engineer, Full Stack

San Mateo, California, United States · Full-time

Sponsorship not specified$110k-$180kDetected 63 days ago
ReactBackend DevelopmentAWSCloud PlatformsKubernetesGraphQLRESTData EngineeringRoboticsCommunication

About the role

  • Improve performance and reliability across the stack, from browser rendering to service interactions.
  • Familiarity with cloud-based systems and distributed architectures.
  • Understanding of performance, reliability, and maintainability considerations across frontend and backend systems.

Responsibilities

  • Implement and maintain backend services and APIs that power frontend experiences.
  • Collaborate with autonomy, product, and field teams, incorporating feedback from real-world operations.
  • Experience building or integrating backend services (e.g., REST/GraphQL APIs, service-to-service communication, or data pipelines).
  • At Skydio we believe that diversity drives innovation.
  • We have created a multidisciplinary environment that embraces the power of diverse perspectives to create elegant solutions for complex problems.

Requirements

  • 3+ years of experience building and shipping customer-facing software across the stack.
  • Experience with modern web development technologies such as React and TypeScript.
  • Ability to work across teams and contribute to features from development through production.

Nice to have

  • Familiarity with cloud infrastructure or orchestration tools (e.g., AWS, Kubernetes, Temporal).
  • Interest in autonomy, robotics, or real-time systems.

Skills

  • Build and iterate on UI/UX in Skydio cloud

Compensation

  • At Skydio, our compensation packages for regular, full-time employees include competitive base salaries, equity in the form of stock options, and comprehensive benefits packages.
  • 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 $110,000-$180,000.
  • Regular, full-time employees are eligible to receive the following benefits: Paid vacation time, sick leave, holiday pay and 401K savings plan.
  • Compensation for certain positions may vary based on the position's location.

Benefits

  • Paid vacation time, sick leave, holiday pay and 401K savings plan.
  • This position and all associated benefits are subject to applicable federal, state, and local laws, as well as the Company's policies and eligibility criteria.
  • Fundamentally, we believe that equity is the key to long-term financial growth, and we ensure all regular, full-time employees have the opportunity to significantly benefit from the company's success.
  • Regular, full-time employees are eligible to enroll in the Company's group health insurance plans.

Company info

  • Skydio is the leading US drone company and the world leader in autonomous flight, the key technology for the future of drones and aerial mobility.
  • The Skydio team combines deep expertise in artificial intelligence, best-in-class hardware and software product development, operational excellence, and customer obsession to empower a broader, more diverse audience of drone users, from utility inspectors https://www.skydio.com/solutions/energy-and-utilities to first responders https://www.skydio.com/solutions/public-safety, soldiers in battlefield scenarios https://www.skydio.com/solutions/national-security/tactical-isr, and beyond https://www.skydio.com/solutions.
  • This role is Hybrid 3 days a week in the 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.
  • We are committed to growing our network of people, programs, and resources to nurture an inclusive culture.

This listing is sourced directly from Skydio's careers page and normalized into a canonical job model.