Long Range Networked Fires Engineer
Employment type
Contract
Work setting
On-site
Location
Laurel, MD
Schedule
Day shift
Posted
Travel
Required
You'll be redirected to the employer's application page.
Job overview
The Long Range Networked Fires Engineer is an onsite role in Laurel, MD. Compensation is not specified in the listing. This position is at the Johns Hopkins Applied Physics Laboratory (APL), focusing on advanced integrated networked fires capabilities for homeland and theater defense. The role involves designing and integrating multi-modal sensing, data fusion, and long-range weapon technologies into complex systems. The engineer will provide thought leadership and conduct rigorous analysis to develop solutions for distributed warfare theaters.
What you'll do
- Design concepts for integrating sensors, weapons, and data fusion.
- Define interface requirements and information exchanges.
- Assess sensor performance metrics.
- Analyze combat and weapon system functionality.
- Lead system-of-systems engineering activities.
What we're looking for
- Skills & competencies
- contractday shiftlaurel mdnetworked firessystems engineeringdata fusionsensorskill chain analysismatlabsecurity clearance requiredus citizenship required
- Work arrangement
- Weekend coverage required
Benefits & perks
- Robust education assistance program, unparalleled retirement contributions, medical, dental, vision, life insurance, short-term/long-term disability, flexible spending accounts.
Why this role
Focus on long-range fires and networked systems.
About the employer
Johns Hopkins Applied Physics Laboratory (APL) is hiring for this role. Industry: Research and Development in the Physical, Engineering, and Life Sciences (except Nanotechnology and Biotechnology). Sector: 54.
Additional details
- Industry sector
- 54
- Industry
- Research and Development in the Physical, Engineering, and Life Sciences (except Nanotechnology and Biotechnology)
- Occupation code
- 17-2071.00
You'll be redirected to the employer's application page.
Listing ID: b27b4f9b-926c-4842-917f-f848d9c5dd15