Engineering Developer

We are looking for a skilled and driven Engineering Developer to join our team. As an Engineering Developer, you will research, design, and implement complex aviation computational algorithms, data processing tools, and chart-rendering software that power our core flight performance, operations, and aeronautical charting products. You will work in an AI-forward engineering environment where modern AI coding assistants and agentic workflows are part of how we build, review, and ship.

The ideal candidate is a strong C#/.NET desktop and backend engineer (with PHP and Swift used across our wider product suite) who is fluent in 2D graphics rendering, geospatial computation, and the practical use of AI tooling to move faster without sacrificing rigor. You will work closely with aviation engineers, data specialists, and product managers to deliver high-quality, validated solutions that meet regulatory and operational standards.

Full-time, Monday to Friday

Location:
Lone Tree, CO – Onsite

• Research, design, and implement advanced algorithms for aircraft performance, weight and balance, runway analysis, and other aviation-specific computational areas.
• Develop and maintain robust data processing tools to structure, validate, and optimize aviation datasets, including airport, aircraft, and environmental information.
• Translate ambiguous or limited requirements into well-structured software solutions, determining the most effective methods of implementation.
• Implement aviation domain knowledge into computational workflows, ensuring compliance with regulatory requirements (e.g., FAR, EASA, ICAO).
• Collaborate with flight operations experts, software engineers, and data teams to ensure accuracy and real-world applicability of algorithms and tools.
• Build and maintain scalable software modules in .NET, PHP, and Swift, ensuring performance, security, and maintainability.
• Design and document system architectures, algorithm specifications, and data workflows.
• Conduct validation and verification testing of computational tools against regulatory and operational benchmarks.
• Participate in peer reviews, maintain high coding standards, and mentor peers on computational problem-solving best practices.
• Investigate issues, troubleshoot computational anomalies, and implement solutions to ensure the reliability and integrity of calculations.
• Stay current with industry trends, regulatory changes, and advancements in computational techniques relevant to aviation.

• Design and maintain 2D rendering pipelines for aeronautical instrument charts and procedure plates, keeping on-screen (GDI+) and exported (SVG/PDF) output in exact visual parity.
• Implement cartographic and geospatial geometry - coordinate projection, scaling, and layout math - to position navaids, fixes, routes, holding patterns, airspace, and procedure symbology accurately.
• Parse and structure FAA instrument procedure data (approach, SID/STAR, circling, vertical profile) and integrate AI-assisted document extraction to convert source charts into structured, editable data.
• Maintain versioned, backward-compatible save/layout file formats so previously authored work continues to load correctly across releases.
• Leverage AI coding assistants and agentic tools (e.g., Anthropic Claude / Claude Code) to accelerate development, while rigorously reviewing, testing, and verifying all AI-generated code before it ships.

• At least 3 years of professional software development experience.
• Strong proficiency in C#/.NET and Windows desktop development (Win Forms); working knowledge of PHP and Swift across the product suite.
• Experience with 2D graphics and vector rendering (GDI+, SVG, and/or Skia Sharp), including pixel-accurate layout and text metrics.
• Solid grasp of geometry, coordinate systems, and map projection math for spatial data placement.
• Ability to research and interpret complex aviation regulations, performance standards, and operational requirements.
• Proven experience designing, implementing, and optimizing mathematical models and algorithms for aviation performance calculations.
• Strong background in structuring, validating, and optimizing large aviation datasets.
• Ability to work from incomplete specifications and determine appropriate implementation methods.
• Proficiency in designing modular, maintainable, and efficient computational workflows.
• Experience with rigorous testing methodologies, including validation of algorithms against regulatory requirements.
• Strong collaboration and communication skills, with the ability to explain technical concepts to both technical and non-technical stakeholders.
• Proficiency with Git-based workflows, automated testing frameworks, and CI/CD pipelines.
• Knowledge of secure coding practices and regulatory compliance in aviation-related systems.
• Experience applying AI/ML techniques to real-world software applications beyond conversational interfaces (e.g., data modeling, algorithm optimization, anomaly…