Air Traffic Management MLAI Software Engineer

Job Description Job Description Air Traffic Management ML/AI Software Engineer Position Description The Federal Aviation Administration (FAA) NextGen project is working with NASA Ames to explore using modern data analytics and Machine Learning (ML) technologies in enabling an info-centric digital National Airspace System (NAS). Join our team and help us reimagine air traffic management for the 21st century. This position will support several projects: Advanced Methods and Adaptive Learning for Flow Management and Routing Decision Development This effort seeks to conduct design, engineering, and feasibility analysis on the application of advanced AI, speech and Natural Language Processing (NLP) technologies to Traffic Flow Management (TFM). Responsive Artificial Intelligence Framework This effort seeks to draft a unified framework and associated metrics document that will quantify and validate the safety assurance and robustness of future potential ML-based services. Flight Deck Collaborative Decision-Making This research project seeks to improve aircraft surface movement by delivering more innovative specifications to the Electronic Flight Bags (EFB). This includes exploring the feasibility of delivering Digital Taxi Instruction (DTI), automatically generated from controller voice instructions, on the EFB app. Urban Air Mobility Airspace Management Simulation Analysis This project will support ongoing efforts between the FAA, NASA, industry partners, and other stakeholders to help validate concepts described in the FAA's UAM Concept of Operations v2.0. The project seeks to exhibit creation and management of notional UAM corridors and architecture components that support information exchanges in the ecosystem. Education/Experience/Skills Requirement Bachelor's degree or higher in aerospace, electrical engineering, mechanical engineering, or computer science. Advanced degree preferred. Experience in machine learning (ML) and/or artificial intelligence (AI) data science technologies, including Natural Language Processing (NLP) Experience with software development using Python, Java, JavaScript, C/C++ Possess analytical and problem-solving skills for the design, creation, and testing of custom software Experience working with aviation datasets, air traffic management, autonomous systems preferred Use of natural language processing tools/framework desirable Excellent organizational and communication skills US Citizen or permanent resident Other Desired Skills: Familiarity with drone technology and operation Practical knowledge of agile software development methodologies (e.g., XP, scrum) Willing to travel to conferences and to FAA sites for training and demonstrations as needed This link will help you explore the transformative work going on in the Aeronautics Research Mission Directorate at NASA : EEOE including vets and disability No Visa sponsorship available for this position

Created: 2024-11-05