Principal Airspace Integration Engineer
| Company | SkyGrid |
|---|---|
| Location | Austin, TX, USA |
| Salary | $Not Provided – $Not Provided |
| Type | Full-Time |
| Degrees | Bachelor’s, Master’s, PhD |
| Experience Level | Expert or higher |
Requirements
- Bachelor’s Degree in Computer Science, Aerospace Engineering, Robotics, STEM
- Work experience in R&D for autonomous systems algorithm development
- 10+ years experience in air traffic management research and development, with a strong focus on concept-to-prototype development
- Experience developing concept of operations and operational scenarios for aerospace and aeronautics applications
- Familiarity with behavior driven development, Agile software development, unit testing and test-driven development
- Familiarity with AI/ML, robotics, or autonomous systems
Responsibilities
- Support refinement of SkyGrid’s product strategy based on airspace integration research
- Translate product and customer needs to use cases and engineering artifacts (e.g., service definition, functional architectures)
- Support business development and product teams in engaging new customers and defining new technologies to develop within R&D
- Work with product and systems engineers to understand and inform functional and performance requirements for autonomy-based functions
- Collaborate with a multi-disciplinary team (e.g. HF / UX / Autonomy) to drive development of novel third-party services from concept-to-prototype
- Work with standard development organizations and industry trade groups to support SkyGrid’s strategic technology roadmap
Preferred Qualifications
- Advanced Engineering degree (Masters or Ph.D.) from an accredited institution
- Experience with aviation operations (e.g. pilot, ATC, dispatcher)
- Familiarity with R&D of algorithms and functions that enable autonomous systems
- Familiarity with future airspace concepts (both domestically and internationally)
- Experience in research and development in one or more of the following areas: Transportation networks, Tactical or strategic conflict detection and resolution for air vehicles, Flight Planning, Resource optimization, Advanced Air Mobility