Director, Flight Systems Integration (R4711)

Technical Leadership & Strategy:

• Lead the development and integration of AI pilots across multiple flight systems and platforms, ensuring that the AI is adaptable and meets the specific needs of each platform’s requirements and mission objectives.
• Oversee and manage the integration of AI autonomy, perception, and control algorithms with platform-specific hardware and software systems.​
• Establish best practices for software quality, safety, reliability, performance, and scalability.
• Champion innovation through research, prototyping, and applied AI/ML techniques.

Team Leadership & Growth:

• Build, mentor, and retain a diverse and high-performing team of engineers and managers, through employee development and engagement.
• Foster a culture of technical excellence, quality, and accountability.
• Establish venues and mechanisms for collaboration and sharing of best practices.
• Track and maintain staffing demand forecasts and corresponding hiring plans to ensure program resource demands are met.
• Partner with Talent Acquisition to attract top talent and build a solid pipeline of engineers.
• Coordinate efforts across engineering disciplines to ensure seamless integration of AI capabilities within flight systems, balancing system performance, safety, and reliability.​

Engineering Execution & Technical Quality:

• Drive the development and refinement of AI autonomy and perception systems, ensuring they meet the program goals and operational requirements of mission autonomy and platform compatibility.
• Collaborate with autonomy and perception engineers to enhance the AI’s ability to perceive its environment, make real-time decisions, and execute mission-critical actions safely and effectively.​
• Translate business, customer, and product needs into technical execution plans.
• Own technical quality outcomes, including measurable bug reduction, defect prevention, and system reliability.
• Promote consistency, maintainability, and long-term organizational scalability. Establish and enforce engineering standards for code quality, documentation, and reviews, including design guides, coding and style guides, and interface/integration standards. Implement appropriate governance mechanisms for technical decision-making and change control. Ensure all is practical, accessible, and actively used.
• Implement right-sized development processes that balance speed, rigor, quality and safety. Implement appropriate process controls.
• Lead continuous improvement initiatives to improve engineer efficiency and reduce rework and regressions.

Platform Integration and Adaptation:

• Ensure the AI pilot is customized and adapted to meet the specific needs of a wide range of defense and commercial platforms, considering constraints such as hardware limitations, safety standards, and mission requirements. Lead platform-specific integration efforts, ensuring the AI system works seamlessly with each platform’s control systems, sensors, and communication interfaces.​

• Partner with product development, systems engineering, and program management teams to ensure alignment between platform requirements, AI capabilities, and overall system design. Collaborate with system architects and systems engineers to drive architecture decisions for perception, cognition, and action, ensuring that AI solutions are fully integrated with the broader platform architecture and systems.

Performance Optimization and Testing: 

• Lead efforts to optimize the performance of AI systems in flight environments, conducting rigorous testing in simulation and live environments to validate system performance. Oversee flight system tests and simulations to identify and resolve any integration issues, ensuring that AI performance meets or exceeds mission requirements before platform deployment.