AI/ML Systems Engineer for Missile Defense & Tracking

The Johns Hopkins University Applied Physics Laboratory

Huntsville (AL)

On-site

USD 105,000 - 245,000

Full time

14 days+

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Benefits offered by this job

Education assistance
Retirement benefits
Work-life balance

Job summary

The Johns Hopkins University Applied Physics Laboratory seeks PhD graduates to join a team focused on rapid capability advancements for defense systems. You will apply math, engineering, computer science, and physics to develop distributed algorithms and AI/ML techniques for missile defense applications.

You will locate at the Huntsville, AL site and collaborate with teams in Laurel, MD, conducting R&D, modeling, and simulations to translate results into actionable insights for sponsors.

Qualifications

  • PhD in Math, Computer Science, Physics, Electrical Engineering or related field.
  • 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 languages.
  • Self-motivated to dig into data and understand system performance.
  • Ability to work independently and within a larger team; collaboration skills.
  • Eligible to obtain Interim Top Secret clearance by start date and ultimately Top Secret clearance.

Responsibilities

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

Skills

AI/ML concepts
Data analysis
Team collaboration
Security clearance readiness

Education

PhD in Math/CS/Physics/EE

Tools

MATLAB
C++
Python

Job description

The Johns Hopkins University Applied Physics Laboratory seeks PhD graduates to join a team focused on rapid capability advancements for defense systems. You will apply math, engineering, computer science, and physics to develop distributed algorithms and AI/ML techniques for missile defense applications.

You will locate at the Huntsville, AL site and collaborate with teams in Laurel, MD, conducting R&D, modeling, and simulations to translate results into actionable insights for sponsors.

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