Autonomous Underwater Signal Processing R&D Engineer

Penn State University; University Park (TX); On-site; USD 122,000 - 266,000; Full time

Benefits offered by this job

75% tuition discount

Comprehensive benefits package

Retirement plans

Job summary

Penn State University’s Applied Research Laboratory seeks a Signal Processing Engineer to design and analyze algorithms for autonomous underwater vehicle guidance and control. You will help implement and test software, collaborating with real-time software and hardware teams to demonstrate performance.

Preferred candidates hold a Bachelor’s degree in engineering or science and have strong communication skills.

Qualifications

• Bachelor's degree in Engineering or Science with 19+ years of relevant experience (Principal) or 5+ years (Advanced) or 14+ years (Senior) depending on level.
• Strong background in signal processing concepts for autonomous guidance and control.
• Excellent written, oral, and interpersonal communication; ability to travel for sponsor events.

Responsibilities

• Design and analyze signal processing algorithms for autonomous underwater vehicle guidance.
• Support implementation, integration and testing of software for performance demonstration.
• Collaborate with real-time software and hardware/test vehicle teams.
• Document work through reports and presentations to sponsors.
• Plan and execute programs advancing signal processing techniques for current and future applications.

Skills

Beamforming

Filtering

Detection

Classification

Localization

Tracking

Machine learning

Written communication

Travel willingness

Education

Bachelor's degree in Electrical Engineering or related field

Tools

MATLAB

Python

C++

Job description

Penn State University’s Applied Research Laboratory seeks a Signal Processing Engineer to design and analyze algorithms for autonomous underwater vehicle guidance and control. You will help implement and test software, collaborating with real-time software and hardware teams to demonstrate performance.

Preferred candidates hold a Bachelor’s degree in engineering or science and have strong communication skills.