Software Engineer–Artificial Intelligence; Artificial Intelligence

Job Description At Boeing, we innovate and collaborate to make the world a better place. We’re committed to fostering an environment for every teammate that’s welcoming, respectful and inclusive, with great opportunity for professional growth. Find your future with us.

The Boeing Company is seeking a Software Engineer — Artificial Intelligence to join the Air Proprietary 2 (AP2) team located in Berkeley, MO
. This position will focus on supporting the Boeing Defense, Space & Security (BDS) business organization.

The Boeing Air Dominance AP2 organization is at the forefront of developing innovative solutions, and our Automated Testing Framework (ATF) plays a critical role in enhancing the quality, safety, and efficiency of our products and services. Our ATF team members work in a dynamic and collaborative environment where the initiative and contributions of each team member are vital to our success.

The ATF team has a need for a Mid-level Software Engineer. In this role, you will be responsible for supporting the development and enhancement of the Air Dominance Automated Testing Framework. Your primary responsibility will be to develop and support software testing tools that facilitate the verification of Open Mission Systems (OMS) software architecture and avionics displays. This position will involve collaborating with cross‑functional teams to ensure the effective integration of testing tools within the program.

You will be tasked with designing, developing, and documenting software solutions that meet the program’s requirements while adhering to best practices in software engineering.

We are looking for a mid-level engineer with experience in software development, particularly in automated testing environments. The ideal candidate will possess a strong understanding of software design principles and will be able to leverage expertise in computer vision and artificial intelligence to design and implement advanced algorithms and models tailored for the ATF.

• Develop and support the maturation of software test tools needed to robustly implement Open Mission Systems (OMS) software architecture.
• Design, implement, and optimize AI/ML models and Computer Vision algorithms to facilitate the automated testing of avionic Pilot/Vehicle Interfaces (PVI).
• Collaborate with cross‑functional teams to gather requirements and feedback for the development of testing tools.
• Collect, clean, preprocess, and analyze large datasets to ensure data quality and reliability, identifying patterns, trends, and insights.
• Develop and implement innovative avionics software testing frameworks and tools, ensuring quality and technical excellence.
• Conduct Safety Risk Management processes for software models in accordance with organizational standards.
• Research and implement current and emerging AI/ML + CV technologies, tools, frameworks, and capabilities within the engineering industry.

• 3+ years of Professional experience with C, C++, C#, Python, Java, or Ada.
• 3+ years of experience in software lifecycle execution and troubleshooting.
• 3+ years working with Python and experience with ML frameworks (e.g., Tensor Flow, PyTorch).
• 3+ years of experience with Agile software development.

• Bachelor with 2 years’ related work experience or master’s degree in engineering, Computer Science, Math, or Statistics.
• Hands‑on experience with state‑of‑the‑art models (e.g., generative AI, computer vision, and NLP).
• Experience with end‑to‑end ML workflows (data pipelines, training, evaluation, and deployment/MLOps).
• Experience with new product development with small, agile teams on fast‑paced, dynamic customer‑funded programs.
• Highest level U.S. security clearance currently hold or have held in the past 24 months.
• Experience developing embedded real‑time software.
• Ability to work effectively in a team environment and communicate with stakeholders of different backgrounds and skill levels.
• Excellent verbal and written communication skills.

Boeing is a Drug Free Workplace (DFW) where post‑offer applicants and employees are…