Autonomy Engineer II
| Company | SkyGrid |
|---|---|
| Location | Austin, TX, USA |
| Salary | $Not Provided – $Not Provided |
| Type | Full-Time |
| Degrees | Bachelor’s, Master’s, PhD |
| Experience Level | Mid Level, Senior |
Requirements
- B.S. in Computer Science, Aerospace Engineering, Robotics, STEM.
- Demonstrated work experience in algorithm development or R&D for autonomous systems.
- Minimum of 3 years of autonomy engineering experience, with a strong focus on concept-to-prototype development.
- 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.
- Highly motivated, solution-oriented individual with a strong analytical mindset, who can: Define the problem statement, Conduct state of the art analysis, Analyze problems that are not clearly defined, Identify possible solutions, Adapt solution scope to fit timelines.
- Experience in air traffic management research and development.
- Experience with mathematical formulation of vehicle kinematics/dynamics, route planning, optimization, conflict detection and resolution algorithms.
- Familiarity with AI/ML, robotics, or autonomous systems.
Responsibilities
- Lead the end-to-end development of autonomous air traffic management functions, from concept to prototype.
- Collaborate with the Product team 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, as well as supporting technical publications and conference contributions.
Preferred Qualifications
- M.S. or Ph.D in Computer Science, Aerospace Engineering, Robotics, STEM.
- Familiarity with aviation and air traffic management operations.
- Experience in R&D and functional development in one or more of the following areas: Transportation networks, Tactical or strategic conflict detection and resolution for air vehicles, Flight Planning, Machine Learning, Resource optimization, Advanced Air Mobility, Bayesian or probabilistic modeling.