Elroy Air
Aviation & Aerospace
See how your profile stacks up against this role.
We compared the job requirements to your profile to show where you're strong and where you fall short.
Desktop application development for mission planning, real-time telemetry, and vehicle diagnostics (Qt, Electron, or similar native/hybrid desktop frameworks)
Visualization and data presentation for complex, time-series, and spatial data from autonomous systems
Communication interfaces between desktop tools and embedded systems (serial, UDP, custom protocols, MAVLink or similar)
Ground support tooling: calibration workflows, pre-flight checks, log analysis, and fleet management interfaces
Collaboration with the simulation infrastructure team to expose cloud batch results in accessible, actionable UI
Web-based data analysis and visualization tools that connect to cloud databases. Think interactive flight data replay, post-mission analysis dashboards, and fleet-level trend reporting
C++ and Python development across the stack; comfort moving between application logic and lower-level interfaces
Contribution to the team’s overall software architecture and developer experience, particularly for tooling and internal platforms
You probably have:
5+ years of professional software development, with experience across desktop application development and web-based tools, ideally both
Strong C++ and/or Python skills; experience structuring non-trivial desktop applications
A track record of building UIs that are usable under real-world operational conditions, not just demos
Ability to work across the stack: from application logic down to protocol parsing or up to data visualization
Experience integrating applications with real hardware or real-time data sources
High standards for software architecture, API design, and internal tooling quality
It’s a bonus if you have:
Experience in aerospace, defense, robotics, or other safety-critical domains
Familiarity with embedded software concepts: you don’t need to write firmware, but you should be able to read it, build it, run it, and understand its constraints
Experience with cloud-based simulation or batch processing infrastructure
Exposure to geospatial visualization, 3D rendering, or time-series data at scale
Primary languages: C++ and Python
Desktop frameworks: Qt and/or Electron (we’re pragmatic and flexible about tooling choices)
Web UI: React or similar modern framework for cloud-connected data visualization and analysis tools; backends in Python
Data: custom telemetry protocols, time-series logs, simulation output from cloud batch runners
Version control and CI: Git, GitHub, cloud-based batch simulation and test runners
Modern AI coding tools used as productivity accelerators, not as a substitute for engineering judgment
After you apply, unlock the direct contact details of the people who actually make the call. A quick follow-up makes you 5x more likely to land an interview.
Marcus Rivera
Chief Revenue Officer
EnergyHub
Accenture
Circle
Amcor
Hargreaves Lansdown
