Job Description

Are you ready to apply your coding skills and technical knowledge in a dynamic, collaborative environment?

If you’re graduating with a degree in Computer Science, Computer Engineering, Applied Mathematics, or a related technical field, and you’re eager to tackle groundbreaking challenges in software development, data management, data analysis, and autonomy test and evaluation, then we want YOU on our team!

You’ll work on cutting-edge projects supporting the Navy's mission in maritime systems.

In this role, you will:

• Develop next-generation solutions to address challenging issues in maritime autonomy for the Navy.
• Engage in full-spectrum software engineering processes.
• Collaborate with top-tier engineers dedicated to designing, creating and refining simulation platforms that assess and validate the Navy's latest autonomy algorithms and systems.
• Contribute to interdisciplinary teams and actively participate in software design evaluations, code reviews, and test strategy planning.

You meet our minimum qualifications for this role if you:

• Hold a BS or MS degree in Computer Science, Computer Engineering, Applied Mathematics, or a related technical field.
• Have experience and/or familiarity with at least one object-oriented programming language and a strong grasp of object-oriented design principles. Experience with C++, Python, or Java is preferred.
• Demonstrate strong interpersonal skills with the ability to work both independently and collaboratively as part of a team.
• Are eligible to obtain an Interim Secret security clearance by your start date, with the ability to ultimately acquire a Secret level clearance. If selected, you will undergo a government security clearance investigation and must meet requirements for access to classified information, including U.S. citizenship.

You’ll exceed our minimum qualifications if you:

• Have knowledge of computer networking, operating systems, hardware interfaces, databases, or problem-solving techniques in software engineering.
• Bring experience in configuration management, automated software testing, continuous integration, or distributed and network programming.
• Are familiar with or have experience in autonomous systems and machine learning algorithms.
• Possess coursework or practical experience in data science and statistical analysis.
• Have experience working in a modern software development environment, such as Agile or Kanban, which includes automated testing, continuous integration and deployment, and DevSecOps protocols.
• Hold an active Department of Defense (DoD) Secret security 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 www.jhuapl.edu/careers.

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.

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.

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