Develop algorithms and software for visual guidance, navigation, and control of aircraft using machine learning. Ensure compliance with industry standards while contributing to commercial and defense aviation projects.

Lead the design and development of solutions for piloted and autonomous aircraft, focusing on technical authority, system architecture, cross-team management, and adherence to aerospace development processes.

As a Flight Automation Software Engineer, you will develop safety-critical algorithms and software for automating aircraft operations. The role involves creating visual guidance, navigation, and control systems using machine learning techniques.

The Visual Simulation Engineer at Daedalean will create simulated imagery to support machine learning design and verification activities, utilizing skills in software engineering, computer graphics, and machine learning or computer vision.

You will drive the design and analysis for flight hardware installation, performing stress analysis and sizing, and preparing compliance documentation. Responsibilities include integrating and prototyping mechanical hardware, conducting static and dynamic analyses, and establishing structural processes and templates.

Lead the Tooling team to develop applications for aviation certification of machine learning-based products. Build infrastructure and devops tools to enhance the development experience for engineering teams.

This is an invitation for candidates who are interested in the company’s work but do not find a suitable job opening to submit their resumes for future consideration.

The Systems Verification Engineer will lead system verification activities, establishing plans and standards to support certification processes. Responsibilities include defining test cases and methodologies, coordinating environmental tests, and collaborating with various engineering teams to ensure comprehensive system verification.