Human Systems Engineer for DoD Warfighter Tech

Johns Hopkins Applied Physics Lab; Laurel (MD); On-site; USD 85,000 - 195,000; Full time

Benefits offered by this job

Comprehensive benefits package

Job summary

Johns Hopkins Applied Physics Laboratory (APL) seeks a systems engineering professional to help design and implement complex military systems for the DoD. The role spans human-system design, requirements development, and cross-disciplinary collaboration to advance warfighter-augmenting capabilities.

The selected candidate will lead fast-paced research on human-machine teamwork, automation, and AI-enabled systems while shaping research vision and coordinating with sponsors and stakeholders.

Qualifications

• Bachelor’s Degree in Systems Engineering, Civil Engineering, Industrial Engineering, or equivalent.
• Passion for building team culture, driving innovation, and executing strategic initiatives.
• Excellent oral and written communication skills.
• Eligible for Secret level security clearance; U.S. citizenship required.

Responsibilities

• Support the design and development of current and future systems using systems and mission engineering practices.
• Facilitate warfighter engagement in system design and development.
• Collaborate with engineers to generate human-system designs and concepts; develop system requirements; provide design feedback.

Skills

Leadership

Communication

Team culture

Strategic initiatives

Security clearance eligibility

Education

Bachelor’s Degree in Systems Engineering, Civil Engineering, Industrial Engineering, or equivalent

Master’s Degree in Systems Engineering, Civil Engineering, Industrial Engineering, or equivalent

Job description

Johns Hopkins Applied Physics Laboratory (APL) seeks a systems engineering professional to help design and implement complex military systems for the DoD. The role spans human-system design, requirements development, and cross-disciplinary collaboration to advance warfighter-augmenting capabilities.

The selected candidate will lead fast-paced research on human-machine teamwork, automation, and AI-enabled systems while shaping research vision and coordinating with sponsors and stakeholders.