Autonomous Systems Engineer: Field‑Ready Embedded & Sensors

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

Job summary

Johns Hopkins University Applied Physics Laboratory (APL) in the Baltimore-Washington metro area seeks an Autonomous Systems Computer Engineer to develop ruggedized sensor systems from concept through fielding and to integrate embedded firmware and software across diverse hardware platforms.

The role emphasizes hands-on testing, modeling and simulation to verify design requirements, and rapid selection of commercial and custom parts.

Qualifications

• B.S. in Electrical/Computer Engineering or Computer Science required.
• Experience in embedded systems, autonomous vehicles, or related tech.
• Experience from concept to prototype and testing.
• Ability to multi-task across projects and work in small teams with quick turnaround.
• Willingness to work in classified labs and travel ~15% for field testing; U.S. citizenship.
• Ability to obtain Interim Secret, then Secret clearance.

Responsibilities

• Develop ruggedized sensor systems from concept through fielding.
• Develop and integrate embedded firmware and software for varied hardware platforms.
• Conduct laboratory and field testing to verify requirements.
• Analyze performance with modeling and simulation to support design.
• Specify and integrate parts for rapid development of systems.
• Document and present designs, analyses and test results to teams and sponsors.

Skills

Embedded systems

Autonomous vehicles

System design

Rapid prototyping

Multi-tasking

Education

B.S. in Electrical or Computer Engineering or Computer Science

M.S. degree preferred

Job description

Johns Hopkins University Applied Physics Laboratory (APL) in the Baltimore-Washington metro area seeks an Autonomous Systems Computer Engineer to develop ruggedized sensor systems from concept through fielding and to integrate embedded firmware and software across diverse hardware platforms.

The role emphasizes hands-on testing, modeling and simulation to verify design requirements, and rapid selection of commercial and custom parts.