Topologe, LLC is a growing small business with its headquarters located in Washington, DC. It is a certified Small Disadvantaged Business. Topologe provides Software Engineering, Systems Engineering, AI/Machine Learning, IT Infrastructure, Help Desk, Information Assurance, Project Management and Network Engineering Services. Topologe supports multiple DoD clients to include the U.S. Air Force, U.S. Army Corps of Engineers, Federal Aviation Administration, Dept of Interior Fish and Wildlife Service, among others.
The team intends to use AI, rule-based algorithms, and large language modeling to create software with the capability to evaluate vertiport placements and potential airspace usage (routes, corridors). This sub-task will enable pre-evaluation of potential vertiport sites and proposed routes to support suitability decisions earlier in an agile, swift M&S process for this applied research. Also, more routes and sites will be evaluated faster as precursor to the HITL simulations, saving both time and money.
We are currently searching for a Dt for *hybrid* work. Contract facility is located in Atlantic City at facility headquarters. Candidates will be responsible for the following:
Principal Responsibilities
- Supporting software development of an AI rule-based algorithms, and large language modeling with the capability to evaluate vertiport placements and potential airspace usage (routes, corridors)
- Participating in agile planning discussions including Sprint Planning (what to deliver), Daily Stand-ups a.k.a Scrums (progress/blockers), Reviews (feedback), and Retrospectives. These meetings, often using Story Points for
estimation, ensure a sustainable, realistic pace. - Designing and implementing data ingestion, cleaning, and structuring workflows to support repeatable analysis of simulation outputs
- Developing machine learning models to generalize and extrapolate findings from one simulated airport or vertiport environment to comparable operational environments
- Conducting predictive analytics and sensitivity analyses to assess throughput, safety margins, infrastructure impacts, and operational tradeoffs
- Supporting the building of automated analytics pipelines and scenario comparison tools to support rapid iteration across airport configurations and traffic assumptions
- Providing and ensuring model transparency, traceability, and explainability to support engineering validation
- Developing data visualizations and decision-support products that translate complex simulation results into actionable insights for scientists, engineers, researchers, and leadership
- Supporting integration of AI-enabled analytics with existing FAA simulation environments and research workflows
Qualifications
- Degree Requirement: At minimum, a Bachelor of Science degree in Engineering,
Math, or Science from an accredited college or university. - At least eight (8) years of relevant experience.
- Software development experience with statistical software and packages, including machine learning frameworks Python.
- Experience deploying full stack, production-ready apps is a plus.
- Strong Understanding of SQL.
- Skills in User Interface (UI) design principles is desired.
- Ability to communicate and coordinate effectively with multiple partners, working in teams.
- Ability to manage a complex task, including short-term and long-term planning, goal and policy setting, and monitoring accomplishments.
What We Offer:
- Multiple Medical/Dental/Vision insurance options
- 401(k) Retirement Plan w/ matching Short Term and Long Term Insurance
- 11 Paid Holidays
- 7 weeks paid leave
- Flexible Spending Account
We provide a comprehensive benefits package, including medical, dental, and vision insurance; paid time off and holidays; a flexible spending account; a 401(k) retirement plan with matching; Life insurance, short-term/long-term Disability insurance and more.
Never miss an opportunity! Create an alert based on the job you applied for.
