Autonomy & Undersea Robotics Engineer

Applied Research Laboratory at the Penn State University; University Park (FL); On-site; USD 106,000 - 231,000; Full time

Job summary

Applied Research Laboratory (ARL) at Penn State University seeks Systems & Robotics Engineers to advance autonomy and underwater robotics for Navy missions. You will work at the intersection of autonomy, underwater platforms, and prototype integration to rapidly transition new technologies to sponsors.

The role involves field testing, multidisciplinary collaboration, and system-level engineering across classified and unclassified environments, with DoD security requirements and potential travel

Qualifications

• Bachelor's Degree in Engineering or Science is required.
• 14+ years of relevant experience for Senior Professional track.
• Active security clearance at the Secret level or higher is required.

Responsibilities

• Develop and integrate autonomy architectures for unmanned vehicles and design/test SSW payloads and sensors.
• Collaborate with multidisciplinary teams across lab groups to meet program objectives.
• Build prototype architectures in SIL/HIL environments and conduct field testing with unmanned platforms.
• Ensure compliance with sponsor requirements, cybersecurity, export controls, and information security.

Skills

Systems engineering

Analytical skills

Agile development

Testing and evaluation

Autonomy/robotics

Security clearance

Education

Bachelor's Degree - Engineering or Science

14+ years of relevant experience

Clearance: Secret or higher

Tools

MBSE tools (Cameo, MagicDraw)

U/XV simulation frameworks

Job description

Applied Research Laboratory (ARL) at Penn State University seeks Systems & Robotics Engineers to advance autonomy and underwater robotics for Navy missions. You will work at the intersection of autonomy, underwater platforms, and prototype integration to rapidly transition new technologies to sponsors.

The role involves field testing, multidisciplinary collaboration, and system-level engineering across classified and unclassified environments, with DoD security requirements and potential travel