Job Level
Mid-LevelSenior
Tech Stack
Python
About the role
- Utilize product design requirements and operational use-cases to develop functional architecture and preliminary algorithm.
- Progress service to Technical Readiness Level (TRL) 2 (conceptual development) and TRL 3 (prototype).
- Conduct unit and integration testing (TRL 4/5) and document a minimum viable product version of the service.
- Enhance the service capability and work with software engineers to transition service to high fidelity production environments (TRL 6/7).
- Update concepts, use cases, and engineering artifacts based on technology maturation.
- Lead the end-to-end development of autonomous air traffic management functions—from concept to prototype.
- Collaborate with product and systems engineers to define functional and performance requirements for autonomy-based functions.
- Collaborate with software engineers to design and develop integration interfaces within the overarching product codebase.
- Specify and execute Software-in-the-Loop (SIL) testing to validate autonomy functions and generate relevant test result artifacts.
- Drive innovation by brainstorming and developing novel autonomy solutions, contributing to research and development efforts in autonomous airspace management.
- Foster collaboration by engaging with external organizations, research institutions, and industry partners, and support technical publications and conference contributions.
- Report to the Principal Airspace Automation Manager; hybrid position based in Austin, TX.
Requirements
- B.S. in Computer Science, Aerospace Engineering, Robotics, or related field.
- Minimum of 3 years of autonomy engineering experience, with a strong focus on concept-to-prototype development.
- Work experience in algorithm development or R&D for autonomous systems.
- Programming Languages: Python, C/C++.
- Familiarity with R&D of algorithms and functions that enable autonomous systems.
- Development, integration, and testing in SIL simulation environment.
- Experience in air traffic management research and development.
- Experience with mathematical formulation of vehicle kinematics/dynamics, route planning, optimization, conflict detection and resolution algorithms.
- Translation of advanced algorithms and mathematical concepts into clean, working code.
- Familiarity with AI/ML, robotics, or autonomous systems.
- Highly motivated, solution-oriented individual with a strong analytical mindset who can define problem statements, conduct state-of-the-art analysis, analyze ill-defined problems, identify possible solutions, and adapt solution scope to fit timelines.
- Preferred: M.S. or Ph.D. in Computer Science, Aerospace Engineering, Robotics, or related field.
- Preferred: Familiarity with aviation and air traffic management operations.
- Preferred: Experience in R&D and functional development in transportation networks, tactical or strategic conflict detection and resolution for air vehicles, flight planning, machine learning, resource optimization, Advanced Air Mobility, Bayesian or probabilistic modelling, Large Language Models.