DevSecOps – Machine Learning Infrastructure Full-time

Job Summary

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 Machine Learning Researcher in Poway, CA. The Autonomy and Artificial Intelligence Solutions Software group is charted to develop and deploy end-to-end autonomous systems that enable unmanned aerial systems (UAS) to execute autonomous missions.

DUTIES AND RESPONSIBILITIES:

• Work on architecture, design, and development of autonomous flight, sensor planning, and control utilizing AI techniques.
• Optimize AI models and system solutions to meet edge-processing requirements.
• Research academic papers and translate research into implementable software solutions.
• Coordinate and lead the team’s establishment of design concepts, criteria, and engineering efforts for product research, development, testing, and integration.
• Interact with internal and external representatives at various levels concerning resolution of technical and scheduling issues. Act as primary contact for engineering activities.
• 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.
• Lead progress review sessions to discuss cost, schedule, and technical performance.
• Identify engineering issues and provide leadership in developing software solutions to meet customer requirements.
• Lead a team in the preparation of proposals, business plans, proposal work statements and specifications, operating budgets and financial terms/conditions of contract(s).
• Technical mentor to junior engineers.
• Responsible for ensuring all laws, regulations and other applicable obligations are observed wherever and whenever business is conducted on behalf of the Company.
• Responsible for ensuring team’s work is accomplished in a safe manner in accordance with established operating procedures and practices.
• Other duties as assigned or required.

We recognize and appreciate the value and contributions of individuals with diverse backgrounds and experiences and welcome all qualified individuals to apply.

Job Qualifications

• Typically requires a bachelors, masters degree or PhD in computer science, engineering, mathematics, or a related technical discipline from an accredited institution and progressive machine learning engineering experience as follows; five or more years of experience with a bachelors degree or three or more years of experience with a masters degree. May substitute equivalent machine learning engineer experience in lieu of education.
• Experience in developing fully autonomous systems and deployment.
• Experience in development and deploying Machine Learning/Deep Learning solutions.
• Experience in leading and building high performance and technical teams.
• Experience in developing and leading scalable software architectures from scratch.
• Experience in optimizing AI models to meet edge processing requirements.
• Strong coding skills in Java, Java Script, C/C++, Python
• Experience in AI frameworks such as Tensorflow and pyTorch.
• Excellent verbal and written communication skills.
• Must be able to architect, design, and develop complex software.
• Technical expertise in the application of engineering principles, concepts, theory, and practice as well as project management and leadership skills including organizing, planning, scheduling, and coordinating workloads to meet established deadlines or milestones.
• Active membership and participation in relevant conference and professional society organizations.
• Demonstrated recent history of academic quality publications in the area of AI/ML and autonomy.
• Must possess the ability to resolve complex management and technical problems.
• Strong communication, leadership, presentation, and interpersonal skills are required to enable an effective interface with other departments, all levels of management, professional and support staff, customers, potential customers, and government representatives.
• Customer focused, must be able to work on a self-initiated basis and in a team environment, and able to work extended hours and travel as required.
• Ability to obtain and maintain a DoD security clearance is required.