Artificial Intelligence Integration Systems Engineer

2 weeks ago


Laurel MD, United States Johns Hopkins Applied Physics Laboratory (APL) Full time
Description

Are you passionate about building the nation’s capability to protect and defend itself?

 

Are you looking to advise government officials on the role of Artificial Intelligence (AI) in aerospace systems?

 

If so, we are looking for someone like you to join our Space Control Systems team at the Johns Hopkins Applied Physics Laboratory (APL) and become our resident AI-expert with our government sponsor

 

The sponsor desires an in-house expert on AI-enhanced aerospace systems. You would provide guidance to teams and stakeholders on integration of AI into space-based and ground-based systems as well as providing expert review of contractor innovations.

 

APL makes critical contributions addressing the nation’s critical challenges in scientific research and development. APL provides our sponsors with technical experts and advisors in a breadth of areas. This position will focus on AI-enhanced space-based and ground-based aerospace systems. In this position, you will draw on the bench depth of APL, communicating challenges of our sponsors and helping translate our understandings to the sponsors’ stakeholders and teams.

 

As the AI-Integration Systems Engineer, your tasks and responsibilities will include:

  • Applying systems engineering principles to develop, integrate, and evaluate AI-enhanced aerospace systems, ensuring the systems meet operational requirements and government needs.
  • Maintaining up-to-date knowledge of advancements in AI and aerospace technologies.
  • Working with government sponsors, contractors, and APL teams to define/refine requirements, solve complex challenges, and deliver innovative solutions.
  • Working with program management as the primary technical advisor responsible for leading APL sponsor related efforts.
  • Contributing actively to vision and strategy development for emergent efforts and future challenges.
  • Assisting in the development of relationships with the primary sponsors and across the project communities of interest.
  • Coordinating across APL programs and staff to ensure alignment of sponsor related tasks with other related APL programs, as required.
  • Working with program and SES leadership to ensure that the depth and breadth of the project staff technical competencies meet the current and future needs.
  • Fostering collaboration with line management to define and communicate project priorities and address technical risks.
  • Serving as a technical expert and advisor on AI integration in aerospace systems, providing guidance to teams and stakeholders.

Qualifications

You meet our minimum qualifications for the job if you...

  • Bachelor of Science in Physics, Engineering, Mathematics, Computer Science or related discipline
  • 10+ years technical experience in Artificial Intelligence applications within complex systems.
  • Highly effective oral and written communications skills.
  • Ability to develop and integrate AI within complex systems.
  • Ability to articulate technical concepts to non-technical experts.
  • Demonstrated experience in evaluating weapons effectiveness.
  • Hold an active Top Secret clearance with an active SCI access. If selected, you will be subject to a government security investigation, to include a polygraph, and must meet the requirements for access to classified information. Eligibility requirements include U.S. citizenship.
  • This position requires travel to various locations with minimum days per week at sponsor site.

You'll go above and beyond our minimum requirements if you...

  • Masters or PhD in Physics, Engineering, Mathematics, Computer Science or related discipline
  • 15+ years of technical experience in Artificial Intelligence applications within complex systems.
  • Experience working Special Access Programs.
  • Current or previous experience with fire control architectures and defensive weapons systems.
  • Current or previous experience with science and technology efforts supporting the Department of the Air Force, Office of the Secretary of Defense (Research and Engineering), etc.
  • Knowledge of APL's Quality Management System

 

Why work at APL?

The Johns Hopkins University Applied Physics Laboratory (APL) brings world-class expertise to our nation’s most critical defense, security, space and science challenges. While we are dedicated to solving complex challenges and pioneering new technologies, what makes us truly outstanding is our culture. We offer a vibrant, welcoming atmosphere where you can bring your authentic self to work, continue to grow, and build strong connections with inspiring teammates.

 

At APL, we celebrate our differences and encourage creativity and bold, new ideas. Our employees enjoy generous benefits, including a robust education assistance program, unparalleled retirement contributions, and a healthy work/life balance. APL’s campus is located in the Baltimore-Washington metro area. Learn more about our career opportunities at  .


About Us

APL is an Equal Opportunity/Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to race, creed, color, religion, sex, gender identity or expression, sexual orientation, national origin, age, physical or mental disability, genetic information, veteran status, occupation, marital or familial status, political opinion, personal appearance, or any other characteristic protected by applicable law.

 

APL is committed to promoting an innovative environment that embraces diversity, encourages creativity, and supports inclusion of new ideas. In doing so, we are committed to providing reasonable accommodation to individuals of all abilities, including those with disabilities. If you require a reasonable accommodation to participate in any part of the hiring process, please contact Accommodations@jhuapl.edu. Only by ensuring that everyone’s voice is heard are we empowered to be bold, do great things, and make the world a better place.



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