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Graduate - Signal Processing​/Computer Science​/Algorithm Development​/AI-ML

Job in Laurel, Anne Arundel County, Maryland, 20724, USA
Listing for: Johns Hopkins Applied Physics Lab
Full Time position
Listed on 2026-09-28
Job specializations:
  • Engineering
    Electrical Engineering, Computer Science, AI Engineer (Applied/Software)
Salary/Wage Range or Industry Benchmark: 85000 - 165000 USD Yearly USD 85000.00 165000.00 YEAR
Job Description & How to Apply Below

Are you self-motivated and passionate about solving some of the most complex problems encountered in defending our nation?

Join our team of engineers, physicists, mathematicians, and computer scientists recognized as experts in their field and contribute to the next generation of sensor algorithms to eliminate our adversaries' ability to evade detection.

  • Develop large scale simulations of electromagnetic fields and radar systems
  • Optimize algorithms to run on multi-million-dollar computational clusters
  • Prototype novel signal processing algorithms to be deployed by our military
  • Use machine learning techniques to augment current and future capabilities
  • Gain a deep understanding of electromagnetic phenomena to see how they can be used and exploited
  • Apply data science and machine learning to complex, large-scale datasets
Qualifications

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

  • A BS in Electrical Engineering, Computer Science, Aerospace Engineering, Computer Engineering, Systems Engineering, Mechanical Engineering, Engineering Physics, Applied Physics, Applied Math or related discipline
  • Strong problem solving/analytical skills
  • Excellent verbal, written and presentation communication skills
  • Can collaborate effectively with colleagues from varied subject areas and experience levels
  • 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 have…

  • A MS in Electrical Engineering, Computer Science, Aerospace Engineering, Computer Engineering, Systems Engineering, Mechanical Engineering, Engineering Physics, Applied Physics, or Applied Math
  • Intern experience related to one or more of the areas described above
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 athttps://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.

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.…

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