Sensor Processing Engineer - AI/ML for Defense

Johns Hopkins Applied Physics Lab; Laurel (MD); On-site; USD 85,000 - 165,000; Full time

Benefits offered by this job

Education assistance

Retirement contributions

Paid time off

Job summary

The Johns Hopkins Applied Physics Laboratory (APL) in Laurel, MD seeks self-motivated engineers, physicists, mathematicians, and computer scientists to contribute to next-generation sensor algorithms and defense-related technology. You will work on challenging problems shaping national security.

Responsibilities include developing simulations, optimizing complex algorithms on large clusters, prototyping signal processing techniques for government use, and applying machine learning to vast

Qualifications

• BS in one of the listed engineering or science disciplines.
• Strong problem solving and analytical skills.
• Excellent verbal, written and presentation communication skills.
• Ability to collaborate with colleagues from varied backgrounds.
• Eligibility to obtain Interim Secret clearance (ultimately Secret). United States citizenship required.

Responsibilities

• Develop large-scale simulations of electromagnetic fields and radar systems.
• Optimize algorithms to run on multi-million-dollar computational clusters.
• Prototype novel signal processing algorithms for military deployment.
• Apply data science and machine learning to large-scale datasets.
• Gain a deep understanding of electromagnetic phenomena for practical use.

Skills

Strong problem solving

Excellent communication

Collaborate effectively

Education

BS in Electrical Engineering

BS in Computer Science

BS in Aerospace Engineering

BS in Computer Engineering

BS in Systems Engineering

BS in Mechanical Engineering

BS in Engineering Physics

BS in Applied Physics

BS in Applied Math

Related discipline

Job description

The Johns Hopkins Applied Physics Laboratory (APL) in Laurel, MD seeks self-motivated engineers, physicists, mathematicians, and computer scientists to contribute to next-generation sensor algorithms and defense-related technology. You will work on challenging problems shaping national security.

Responsibilities include developing simulations, optimizing complex algorithms on large clusters, prototyping signal processing techniques for government use, and applying machine learning to vast