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Sensor Systems Engineer

Johns Hopkins Applied Physics Laboratory (APL)Laurel, Maryland🇺🇸United StatesPosted 6 Sept 2026

Why This Role Stands Out

This hybrid role at Johns Hopkins APL offers a dynamic opportunity to design and analyze cutting-edge sensor systems for critical national security and space missions, fostering significant professional growth and impact. You'll thrive here if you're a mid-senior engineer skilled in systems engineering, signal processing, and simulation, eager to collaborate with experts and contribute to groundbreaking technologies. Apply to join a mission-driven environment that values innovation and offers excellent career development pathways.

Quick Overview

Seniority
Mid Senior
Employment type
Full Time
Work mode
Hybrid
Location
Laurel, Maryland, United States
MATLABPython

Job Description

Johns Hopkins Applied Physics Laboratory (APL) seeks a Sensor Systems Engineer to design, model, and analyze advanced sensing solutions for national security and space applications. You will develop system requirements, build simulations, assess performance, and support integration and test of multi-physics sensor systems. Collaborating with experts across disciplines, you'll translate mission needs into robust architectures and prototypes. APL's mission-driven, research-focused environment supports innovation, graduate education, professional growth, and impactful contributions to critical national and global challenges.

Responsibilities

  • Design and analyze advanced sensor architectures for national security and space missions
  • Develop and manage system requirements, interfaces, and performance specifications
  • Build and execute models and simulations to evaluate sensor and system performance
  • Support integration, verification, and validation of sensor systems and prototypes
  • Collaborate with cross-disciplinary teams to translate mission needs into technical solutions
  • Prepare technical reports, briefings, and documentation for sponsors and stakeholders
  • Apply systems engineering best practices and configuration management processes
  • Use tools such as MATLAB or Python for data analysis and algorithm development

Required Skills

  • Sensor systems design
  • Systems engineering
  • Signal processing
  • MATLAB or Python
  • Modeling and simulation
  • Requirements development
  • System integration and test
  • Data analysis
  • Technical documentation
  • Configuration management

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