Autonomous Systems Test Engineer

Description Are you searching for meaningful Test and Evaluation work supporting the vigorous pursuit of advancing AI and autonomy to revolutionize air, strike and electronic warfare? Do you enjoy collaborating with an energetic and talented team of scientists and engineers to help ensure the US achieves a preeminent position as the world leader in the development and fielding of intelligent autonomous combat systems?

If so, we're looking for someone like you to join our team at APL! APL is seeking an energetic and talented Autonomous Systems Test Engineer who is interested in being part of a diverse team, pursuing advanced applications of artificial intelligence and autonomy to enable future combat capabilities to out maneuver and out think the adversary. Our team is made up of professionals with a demonstrated expertise in aerospace engineering, control theory, machine learning, optimization / optimal control theory, stochastic optimal control and the general field of artificial intelligence.

As an Autonomous Systems Test Engineer... You will research and develop new and novel approaches for test and evaluation of AI and autonomous systems to include methods for evaluating system performance, trust, and certification; Research areas of interest include live-virtual-constructive, run time assurance, system performance metrics, real time analysis of autonomous system performance, and analysis of complex systems and large data sets. You will develop test requirements, test and safety plans, test processes and procedures, analysis methodologies, and test execution strategies for intelligent combat systems. You will be a member of the test team, support the software, hardware, ground and flight testing of AI and autonomous systems including testing at remote locations.

You will provide test and evaluation expertise to customers on performers testing approaches, plans, schedules, and capabilities to ensure program success. Qualifications You meet our minimum qualifications for the job if you... Possess a Bachelor's degree in Aerospace, Electrical, or Mechanical Engineering or another related field.

Have at least five years of relevant experience as a test engineer.

Have experience developing test plans/reports, and supporting live test events. Have experience with developing analysis tools and techniques using Python, MATLAB, or other software coding languages. Have demonstrated strength with communication skills - both verbal and written.

Are able to travel within CONUS to U.S. Government and defense contractor's sites as well as to the work locations of Group staff. Are able to obtain an Interim Secret level security clearance by your start date and can ultimately obtain a Secret level clearance.

If selected, you will be subject to a government security clearance investigation and must meet the requirements for access to classified information. Eligibility requirements include U.S. citizenship. You 'll go above and beyond our minimum requirements if you... Possess a Master's degree (or higher) in Aerospace, Electrical, or Mechanical Engineering or another related field.

Have experience working with unmanned aircraft test and evaluation. Have experience with test and evaluation related to autonomy, AI, and/or machine learning. Have an active Top Secret clearance.

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 http://www.jhuapl.edu/careers. 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.Are you searching for meaningful Test and Evaluation work supporting the vigorous pursuit of advancing AI and autonomy to revolutionize air, strike and electronic warfare? Do you enjoy collaborating with an energetic and talented team of scientists and engineers to help ensure the US achieves a preeminent position as the world leader in the development and fielding of intelligent autonomous combat systems?

If so, we're looking for someone like you to join our team at APL! APL is seeking an energetic and talented Autonomous Systems Test Engineer who is interested in being part of a diverse team, pursuing advanced applications of artificial intelligence and autonomy to enable future combat capabilities to out maneuver and out think the adversary. Our team is made up of professionals with a demonstrated expertise in aerospace engineering, control theory, machine learning, optimization / optimal control theory, stochastic optimal control and the general field of artificial intelligence.

As an Autonomous Systems Test Engineer... You will research and develop new and novel approaches for test and evaluation of AI and autonomous systems to include methods for evaluating system performance, trust, and certification; Research areas of interest include live-virtual-constructive, run time assurance, system performance metrics, real time analysis of autonomous system performance, and analysis of complex systems and large data sets. You will develop test requirements, test and safety plans, test processes and procedures, analysis methodologies, and test execution strategies for intelligent combat systems. You will be a member of the test team, support the software, hardware, ground and flight testing of AI and autonomous systems including testing at remote locations.

You will provide test and evaluation expertise to customers on performers testing approaches, plans, schedules, and capabilities to ensure program success.