Skydio

Skydio

Senior Software Engineer, React Native

San Mateo, California, United States · Senior · Full-time

Sponsorship not specified$190k-$250kDetected 37 days ago
TypeScriptSwiftKotlinReactReact NativeCI/CDGraphQLData VisualizationDesign SystemsRoboticsVoIPCollaboration

Stay score

odds of building a lasting career here

57Sponsors, lottery-bound
Cap-exempt (no lottery)0
Sponsors this role75
Entry-level history0
PERM / green-card track0
Lottery odds (Level IV)94
Fits your clock70

Sponsors, but it's cap-subject — you still face the weighted lottery (~61% per draw at Level IV). Good if you win; have a cap-exempt backup on your list.

Lottery odds assume a STEM candidate.

Personalize to your clock →

H-1B wage level

the lottery is wage-weighted — each level is one more entry

Level II · 2×
Level I$137,0931 entry
Level II$165,1312 entries
Level III$193,1493 entries
Level IV$221,1874 entries

$3,149 more — $193,149 — moves this role to Level III and 3 lottery entries. That figure is inside the range the employer already advertised.

Based on the DOL prevailing wage for this occupation and worksite, a base salary of $193,149 would place this position at wage Level III. That figure is within the posted range, and I'd like to target it. This role classifies under "Software Developers" for prevailing-wage purposes.

DOL prevailing wage, 2026-27 wage year · Software Developers (15-1252) · San Francisco-Oakland-Fremont, CA. Wage level is derived by USCIS from the offered wage, occupation and worksite; the occupation shown is inferred from the job title.

Employer immigration record

from this employer's Department of Labor filings

Files H-1B transfers

12 transfer filings in the last year, covering 12 workers. Median labor-condition decision: 7 days. An employer that already files transfers is one that can take over an existing H-1B.

Sourced from Department of Labor LCA, PERM and prevailing-wage disclosure data. Employer matching is by name, so figures may be split across an employer's legal entities. Absence of a filing means none appears in our copy of the data, not that none exists.

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About the role

  • This is a role with real architectural latitude.
  • Innovate on UI/UX for Skydio's new cross-platform mobile app
  • Improve app performance through tasteful use of native code versus TypeScript - knowing when to drop into Swift or Kotlin and when not to

Responsibilities

  • Build video- and map-based experiences for a range of user personas, from trained pilots to first-time public users
  • Own features end to end, from early prototype through customer rollout, with release management, feature flagging, and observability in place
  • Collaborate with the autonomy and cloud teams, and iterate on features using feedback from the field
  • 5+ years building and shipping customer-facing mobile applications, with substantial depth in React Native
  • Proven ability to design systems that scale for performance, reliability, and usability - and the diagnostic skill to find out why they don't
  • Experience building real-time, data-intensive features and integrating with external APIs and services
  • 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

  • Obtaining FAA Part 107 certification within the first 60 days of employment is strongly encouraged for all Skydio employees and required for certain positions
  • Experience with real-time video streaming (WebRTC, LiveKit, RTP/UDP pipelines, or similar)
  • Experience with geospatial data visualization (Mapbox, Cesium, or similar)
  • Experience with 3D tooling and matrix-based transformations (OpenGL, WebGL, WebGPU, Three.js, or similar)
  • Experience with Expo and modern React Native tooling, including the New Architecture (Fabric, TurboModules)

Skills

  • Strong development skills in Swift and/or Kotlin, with real experience writing or maintaining native modules rather than only consuming them

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.
  • The annual base salary range for this position is $190,000 - $250,000*.
  • 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.
  • 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.