Machine Learning Engineer IV

About the position

General Atomics Aeronautical Systems, Inc. (GA-ASI), an affiliate of General Atomics, is a world leader in proven, reliable remotely piloted aircraft and tactical reconnaissance radars, as well as advanced high-resolution surveillance systems. We have an exciting opportunity for a ML Autonomy Architect in Poway, CA. The Autonomy and Artificial Intelligence Solutions Software group is charted to establish an autonomy ecosystem that enables rapid development and deployment of software skills on unmanned aircraft to help accelerate kill chain closure.

Responsibilities

• Work on architecture, design, and development of autonomous flight, sensor planning, and control utilizing AI techniques.
• Develops and maintain software stack for autonomy.
• Experience in developing software system solutions to meet edge-processing requirements.
• Develops and communicates highly complex descriptive, diagnostic, predictive and prescriptive insights/algorithms.
• Participate in and coordinate the establishment of design concepts, criteria, and engineering efforts for product research, development, testing, and integration.
• Lead progress review sessions to discuss cost, schedule, and technical performance to ensure software stack development meets deadlines and goals.
• Ensure technical leadership and excellence is maintained by participating in the planning, attraction, selection, retention, and development of the required management, professional, and technical talent.
• Interact with internal and external representatives at various levels concerning resolution of technical and scheduling issues. Act as primary contact for engineering activities.
• Identify engineering issues and provide leadership in developing software solutions to meet customer requirements.
• Applies deep learning technologies to give computers the capability to visualize, learn and respond to highly complex situations.
• In both theoretical development environments and specific product design, implementation and improvement environments, uses highly complex programming language and technologies to translate algorithms and technical specifications into code.
• Working with interdisciplinary integration teams to operationalize autonomy and CI/CD deployment infrastructure for future aircraft.
• Adapts machine learning to areas such as virtual reality, augmented reality, artificial intelligence, robotics and other products that allow users to have an interactive experience.
• Maintains the strict confidentiality of sensitive information.
• Performs other duties as assigned.
• Responsible for observing all laws, regulations and other applicable obligations wherever and whenever business is conducted on behalf of the Company. Expected to work in a safe manner in accordance with established operating procedures and practices.