Applied Algorithms Engineer

About the role

We are seeking innovative and highly talented candidates to join our group, which specializes in advanced research and program of record activities for rapid capability advancements. In particular, you will conduct systems analysis, identify gaps, and develop novel concepts to revolutionize defensive capabilities for the U.S.A.

Responsibilities

• Conduct research and development activities related to U.S. Missile Defense systems.
• Assist in the development, testing, and analysis of new concepts related to sensing, engagement, and fire control.
• Implement algorithms and design modeling and simulation components of systems.
• Develop AI/ML-based concepts and technical solutions to solve challenging problems.
• Apply novel data fusion and tracking concepts for object tracking and discrimination applications.
• Analyze simulation outputs and translate results into clear insights for the research sponsor.
• Deliver presentations to technical staff, program leadership, and government sponsors.
• Develop prototype capabilities and work with partner organizations to transition ideas to fielded systems.

Requirements

• Possess a Bachelor's degree in Math, Computer Science, Physics, Electrical Engineering or a related field.
• Have 5+ years of professional experience.
• Be detail-oriented with strong analytical and problem-solving skills.
• Familiarity with probabilistic algorithms and numerical methods.
• Programming experience with MATLAB, C++, Python, or other high-level programming languages.
• Be highly self-motivated to dig into data to root cause issues and to understand system performance.
• Able to work both independently and as part of a larger team, as well as effective collaboration skills with other teams and contractors.
• Able to obtain a Top Secret level security clearance by your start date and can ultimately obtain Top Secret / SCI level clearance.

Qualifications

• Minimum requirements: Possess a Bachelor's degree in Math, Computer Science, Physics, Electrical Engineering or a related field. Have 5+ years of professional experience. Be detail-oriented with strong analytical and problem-solving skills. Familiarity with probabilistic algorithms and numerical methods. Programming experience with MATLAB, C++, Python, or other high-level programming languages. Be highly self-motivated to dig into data to root cause issues and to understand system performance. Able to work both independently and as part of a larger team, as well as effective collaboration skills with other teams and contractors. Able to obtain a Top Secret level security clearance by your start date and can ultimately obtain Top Secret / SCI level clearance.
• Preferred qualifications: Have a Master’s or higher degree in Engineering, Math, Physics, Computer Science, or a related field. Have 5+ years of professional experience, including technical leadership roles. Have knowledge and experience with AI/ML technologies and MLOps practices. Have domain knowledge of Navy, Missile Defense Agency, Space Force, or Air Force systems. Have a current final Secret or Top Secret clearance.

About Us

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 https://www.jhuapl.edu/careers. 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 Accessibility@jhuapl.edu.