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Graduate - Algorithm Development Engineer

Job in Laurel, Anne Arundel County, Maryland, 20724, USA
Listing for: Johns Hopkins University Applied Physics Laboratory LLC
Full Time position Listed on 2026-11-13
Job specializations:
Salary/Wage Range or Industry Benchmark: 85000 - 165000 USD Yearly USD 85000.00 165000.00 YEAR

Job Description & How to Apply Below

Position: 2027 Graduate - Algorithm Development Engineer
Location: Laurel

Description

Are you interested in developing and analyzing signal processing and machine learning algorithms for maritime and US Navy applications? Do you enjoy working on collaborative project teams with peers and mentors to aid your career development?

If you are graduating with a Bachelor’s or Master’s degree in computer engineering, electrical engineering, physics, mathematics, statistics, or a related field and want to apply your skills to the maritime and undersea domain, consider joining our team! We strive to cultivate an environment of collaboration and partnership with our highly skilled staff who regularly tackle difficult problems that make a difference in real-world operations.

We apply information processing, machine learning, deep learning, and signal processing to transform raw sensor and network data into meaningful information for our nation’s warfighters. As examples, you may develop algorithms to hunt for submarines, analyze IP network traffic data to characterize network behavior and identify anomalous activity, or develop deep learning algorithms to classify objects in sidescan sonar images.

As an Algorithm Development Engineer, you will…

  • Develop, implement, test, and evaluate signal processing, data analysis, and machine learning algorithms for challenging maritime and national security applications.
  • Work with real-world sensor, imagery, or network data to uncover patterns, extract meaningful features, and develop algorithms that turn data into actionable information.
  • Develop software tools and analysis workflows, primarily using Python, MATLAB, or C/C++, to process data, conduct experiments, and evaluate algorithm performance.
  • Collaborate with multidisciplinary teams of engineers, scientists, and operational experts to tackle technical issues and transition innovative capabilities into operational use.
  • Detail your technical approach, software, experiments, and algorithm performance through written reports, presentations, and technical discussions with colleagues and sponsors.
Qualifications

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

  • Have a Bachelor’s or Master’s degree in computer engineering, electrical engineering, mathematics/statistics, or physics.
  • Have demonstrated programming experience in Python, MATLAB, C/C++, or a similar language.
  • Have strong written and verbal communication skills with the ability to work effectively in small project teams.
  • Have a foundation in relevant mathematical and computational concepts, such as linear algebra, probability, statistics, numerical methods, or digital signal processing.
  • Have experience applying programming and analytical skills to solve technical problems, including developing algorithms, analyzing data, or evaluating computational outputs.
  • Are able to obtain an Interim Secret level security clearance by your start date and can ultimately acquire 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 experience implementing and evaluating signal processing or machine learning algorithms using real-world or simulated data.
  • Have knowledge of IP networking concepts and protocols (e.g., TCP/IP, UDP, DNS, routing) and experience analyzing network traffic, packet captures (PCAP), or network performance. Have used tools including Wireshark, Arkime, or Elasticsearch.
  • Are familiar with signal processing concepts such as sampling theory, Fourier transforms, digital filtering, spectral analysis, or time-frequency representations.
  • Have experience with statistical analysis, feature extraction,…
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