Artificial Intelligence (AI) and Flight Software Engineer

Moog•Torrance, CA

2d•$70,000 - $135,000•Hybrid

About The Position

Moog is a performance culture that empowers people to achieve great things. Our people enjoy solving interesting technical challenges in a culture where everyone trusts each other to do the right thing. For you, working with us can mean deeper job satisfaction, better rewards, and a great quality of life inside and outside of work. Moog is looking for an Artificial Intelligence (AI) and Flight Software Engineer to join our Software Development Team. This role offers the opportunity to work at the intersection of traditional embedded flight software engineering and emerging AI technologies, where your contributions will directly impact flight critical systems on current and future military aircraft. You will primarily be responsible for creating and executing embedded flight software solutions that will fly on mission-critical military aircraft while contributing to a strategic and highly collaborative team responsible for developing Artificial Intelligence (AI) solutions that drive value and efficiency across various disciplines. Reporting to an Engineering Manager, you can choose a 9/80 work schedule with a hybrid work option (minimum 3 days/week in the office) in Torrance, CA.

Requirements

Bachelor of Science Degree in Engineering or other technical discipline, preferably Computer Engineering, Electrical Engineering, Computer Science or similar
3+ years of software development work experience
Experience programming in C and Python
Strong problem-solving and debugging skills
Ability to work independently and as part of a team
Ability to obtain US Security Clearance

Nice To Haves

Experience with flight or safety critical processes such as DO-178C Level A or SAE ARP4754A or military aircraft equivalent
Experience with requirements-based unit testing and integration testing
Experience in the aerospace/defense industry
Demonstrated ability to communicate well with functional and project leaders
Electrical, computer engineering knowledge in a hands-on environment
Familiarity with various phases of a software program including an awareness of project controls (i.e. cost, schedule, scope, and risks)
Exposure to integrating AI tools into existing, established processes/programs
Exposure to cloud/on-prem hybrid architectures and secure AI infrastructure
Exposure to enterprise AI platforms (e.g., Azure AI, AWS AI/ML, Google Cloud AI)

Responsibilities

Design, implement, and/or test software and requirements for use in real-time embedded aircraft control systems
Perform systems and software integration and verification activities using real and simulated hardware
Develop maintainable computer interfaces to electrical and mechanical systems, including hardware drivers and communication protocols.
Comply with flight or safety critical processes such as DO-178C Level A or SAE ARP4754A or military aircraft equivalent
Stay up to date on advances in technology and processes for continuous improvement of accuracy, reliability, and cost
Create and update AI scripts and tools
Champion AI awareness, buy-in, and adoption readiness
Stay abreast of industry trends and emerging AI technologies
Contribute to best practices for AI model development, testing, and deployment
Collaborate with engineering teams to architect scalable, secure AI solutions within existing enterprise systems
Domestic travel may be required as needed (up to 5%)