Sr. Radar Systems Engineer

Johns Hopkins Applied Physics Laboratory (APL)

Laurel (NE)

On-site

USD 100,000 - 245,000

Full time

14 days+

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Job summary

Johns Hopkins University Applied Physics Laboratory (APL) is seeking an experienced sensor systems engineer with a strong radar background to analyze live data and develop advanced modeling tools. You will collaborate across disciplines to solve mission-critical problems in defense, security, space, and science sectors.

Applicants should have a BS in a relevant STEM field with 5+ years of sensing experience; MS/PhD is preferred. U.S.

Qualifications

  • A BS in Electrical Engineering, Physics, or a related STEM field with sensor systems engineering experience.
  • At least 5 years of engineering experience related to sensing.
  • Strong grasp of radar systems and physics-based effects influencing radar/communications performance.
  • Familiarity with Python, MATLAB, or similar tools, and exposure to Git/GitLab/Jira workflows.
  • Strong interpersonal and communication skills.
  • Willingness to travel up to 5% as needed.
  • US citizenship and Interim Secret clearance by start, with potential for Top Secret/SCI access.
  • MS/PhD in EE/Physics or related disciplines preferred.
  • Experience with advanced DoD sensors and combat systems preferred.
  • Existing Top Secret clearance is a plus.

Responsibilities

  • Analyze live tactical sensor data with a cross-functional team to deliver mission-focused solutions.
  • Identify and resolve issues affecting mission requirements.
  • Build and apply modeling/simulation tools, data-analysis platforms, and ML methods to large datasets; develop new algorithms for real-world problems.
  • Create and refine physics-based simulations to improve radar, EO/IR, and EW system performance in realistic environments.
  • Develop instrumentation and algorithms to understand RF propagation by measuring, recording, and analyzing RF signals.
  • Detect emergent phenomenology, troubleshoot sensor-performance issues, and collaborate with a wide network of experts including contractors and government labs.
  • Apply machine learning, signal processing, and data science to challenging real-world problems.
  • Advance core tech areas such as signal processing, electromagnetics, software development, and boundary-layer meteorology.

Skills

Interpersonal communication
Travel willingness
Python
MATLAB
Git
GitLab
Jira

Education

BS in Electrical Engineering or Physics
MS or PhD in EE/Physics (preferred)

Tools

Python
MATLAB
Git
GitLab
Jira

Job description

Requirements
Must have:
  • We are looking for a BS in Electrical Engineering, Physics, or a related STEM field, along with sensor systems engineering experience.
  • We require at least 5 years of engineering experience related to sensing.
  • We need a strong grasp of radar systems and/or the physics-based effects that influence radar or communications performance.
  • We value familiarity with Python, MATLAB, or similar tools, plus exposure to modern development workflows such as git, GitLab, or Jira.
  • We expect strong interpersonal and communication skills.
  • We require willingness to travel up to 5% of the time as needed.
  • You must be able to obtain an Interim Secret clearance by your start date and ultimately qualify for Top Secret/SCI access; U.S. citizenship is required.
  • Preferred qualifications include an MS or PhD in Electrical Engineering, Physics, or another relevant STEM discipline, or additional relevant experience.
  • Preferred qualifications also include experience with advanced DoD sensors and combat systems.
  • We prefer candidates with experience leading technical teams.
  • An existing Top Secret clearance is considered a plus.
Responsibilities:
  • We analyze live tactical sensor data with a cross-functional team to deliver mission-focused solutions.
  • We identify and resolve issues that affect mission requirements.
  • We build and apply modeling and simulation tools, data-analysis platforms, and machine-learning methods to large data sets, and we develop new algorithms that address real-world problems.
  • We create and refine physics-based simulations that improve insight into radar, EO/IR, and electronic-warfare system performance in realistic operating environments.
  • We develop novel instrumentation and algorithms to understand RF propagation effects by directly measuring, recording, and analyzing RF signals.
  • We detect emerging phenomenology, troubleshoot sensor-performance issues, and collaborate with a wide network of experts, including prime contractors, government laboratories, RF-propagation and meteorology specialists, software developers, combat-system engineers, and physicists.
  • We apply machine learning, signal processing, and data science techniques to challenging real-world problems.
  • We advance our core technology areas, including signal processing, electromagnetics, software development, and boundary-layer meteorology.
Company:

We are the Johns Hopkins University Applied Physics Laboratory (APL), where we bring world‑class expertise to critical defense, security, space, and science challenges. We offer a vibrant and welcoming culture that encourages authenticity, collaboration, creativity, and professional growth. Our team enjoys generous benefits, including robust education assistance, strong retirement contributions, and a healthy work/life balance. Our campus is located in the Baltimore‑Washington metro area, and applications are accepted on a rolling basis. We also provide a comprehensive benefits package that includes retirement plans, paid time off, medical, dental, vision, life insurance, disability coverage, flexible spending accounts, education assistance, and training and development. The role offers a salary range of $100,000 to $245,000 annually, with possible additional compensation such as sign‑on bonuses, relocation support, locality allowance, or discretionary payments.

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