Mission Planning Design Engineer / Analyst

Description Are you an engineer who wants to have impact on nationally important defense programs by building practical solutions to hard problems? Description Are you an engineer who wants to have impact on nationally important defense programs by building practical solutions to hard problems? Do you want a key engineering/analyst role that helps AMDS revolutionize the art of defense by applying your talents to address the difficult challenges facing our warfighters such as Operationalizing Artificial Intelligence to support Achieving Robust Homeland and Theater Defenses, Accelerating Warfighting Capabilities in INDOPACOM, or Enabling Space Superiority? Do you want to help transform Decision Dominance for the U.S. Military challenges? Would you like to contribute to the rapid exploration, engineering, analysis, and transition of mission planning solutions to U.S. warfighters? If so, we're looking for someone like you to join our team at APL! In A5C, we develop and deploy advanced planning capabilities and solutions directly into the hands of the warfighter, empowering them to design dominant defenses for maximum performance across multiple simultaneous missions, multiple services, and multiple command echelon planning levels and domains. Our work spans the full mission planning problem: modeling sensors, effectors, and combat systems; designing mission planning capabilities (workflows, models, and algorithms); optimizing defense designs and strategies; and performing the lifecycle engineering and real-world operations analysis that keeps capabilities effective in the field. We are seeking an enthusiastic team member with software engineering experience willing to take on exciting assignments and willing to learn about the complexity of military systems. As a Mission Planning Design Engineer / Analyst you will... Engineer solutions for military mission planning and conduct the analytical efforts that shape planning, battle management, and coordination capabilities. Describe and model system architectures and the algorithms that underpin planning, battle management, and coordination capabilities. Develop algorithms and models of sensors, effectors, and combat systems to assess mission plans, defense designs, and engagement performance across realistic threat scenarios. Engineer workflows for planning and battle management capabilities, translating warfighter needs into intuitive, effective capabilities. Apply optimization techniques to defense design and strategy problems, defining measures of effectiveness, conducting trade studies, and allocating sensors, effectors, and platforms to maximize performance across multiple simultaneous missions and planning levels. Develop prototypes leveraging existing models, libraries, and data to support planning, optimization, and operational analysis. Conduct analysis supporting lifecycle engineering and real-world operations, including test events and operational scenarios, to provide data and recommendations for the Missile Defense Agency and Navy decision-makers. Participate in requirements and design reviews to ensure sponsor direction is established and assess prime contractor compliance with sponsor directions. Develop and deliver presentations to sponsors and collaborators that effectively communicate proposed solutions and analysis. Author reports that bring together models, analysis, requirements, and technical recommendations. Qualifications You meet our minimum qualifications for the job if you... Possess a bachelor's degree in engineering, mathematics, physics, or equivalent academic backgrounds. Have two or more years of experience in modeling and simulation and/or data analysis Have two or more years of experience translating user needs and gaps into technical solution from workflow design to backend algorithm design and optimization. Have shown success working in a multi-disciplinary team. Have programming experience with MATLAB or Python. Have demonstrated success in working in an engineering team of 3 or more people. Exhibit excellent written and verbal communication. Exercise excellent critical thinking. Have technical expertise in the design, analysis, and/or operation of complex systems. Have experience describing and modeling system architectures and algorithms. Hold an active Secret security 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 an advanced degree (master's degree or PhD degree) in engineering, applied mathematics, applied physics, operations research, computer science, or equivalent academic backgrounds. Have five or more years of experience in engineering, modeling and simulation, optimization, data analysis, and/or workflow design germane to military systems pertinent to air and missile defense. Have two or more years of experience applying AI/ML to real-world problems. Have two or more years of experience in specification and requirements development and analysis. Have experience reviewing and/or authoring design specifications of military systems. Have technical expertise in the design/analysis/operation of Navy mission planning systems. Have experience using high-performance computing to solve large-scale analysis problems. Have experience with data management, including databases and data structures, to support analysis tools and workflows. About Us 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 of perspectives 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 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 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 View email address on click.appcast.io. The referenced pay range is based on JHU APL’s good faith belief at the time of posting. Actual compensation may vary based on factors such as geographic location, work experience, market conditions, education/training and skill level with consideration for internal parity. For salaried employees scheduled to work less than 40 hours per week, annual salary will be prorated based on the number of hours worked. APL may offer bonuses or other forms of compensation per internal policy and/or contractual designation. Additional compensation may be provided in the form of a sign‑on bonus, relocation benefits, locality allowance or discretionary payments for exceptional performance. APL provides eligible staff with a comprehensive benefits package including retirement plans, paid time off, medical, dental, vision, life insurance, short‑term disability, long‑term disability, flexible spending accounts, education assistance, and training and development. Applications are accepted on a rolling basis. Minimum Rate $100,000 Annually Maximum Rate $245,000 Annually #J-18808-Ljbffr Johns Hopkins Applied Physics Laboratory