On-Site Signal Processing R&D Engineer - Sonar & ML

Penn State University; State College (Centre County); On-site; USD 92,000 - 175,000; Full time

Job summary

Your working location will be located fully on-site located in State College, PA. Penn State University’s Applied Research Laboratory (ARL) seeks Signal Processing Research and Development Engineers to join the Sensor Analysis and Data Modeling (SADM) Department.

The role focuses on advancing sonar-related data products and tools for national defense. Responsibilities include developing prototype algorithms, evaluating performance, and supporting field testing, with opportunities to contribute

Qualifications

• Bachelor's Degree in Engineering or Science.
• 2+ years of relevant experience.
• Required Certifications: None

Responsibilities

• Integrate subject matter expertise - Collaborate with a diverse group of engineers, scientists, and military personnel to understand problems from many perspectives
• Develop prototype algorithms - Design, write, and validate algorithms for use in analyses and data-product generation
• Execute analyses - Evaluate algorithm performance, data quality, and the feasibility of novel approaches
• Support field testing - Provide remote or in-person analysis and troubleshooting
• Deliver and transition results - Communicate findings clearly to stakeholders, scientists, and software engineers both within ARL and at external sponsors

Skills

MATLAB

Python

R

Data analysis

Communication

Education

Bachelor's Degree - Engineering or Science

Tools

ArcGIS

QGIS

Git

Jira

Google Earth

Job description

Your working location will be located fully on-site located in State College, PA. Penn State University’s Applied Research Laboratory (ARL) seeks Signal Processing Research and Development Engineers to join the Sensor Analysis and Data Modeling (SADM) Department.

The role focuses on advancing sonar-related data products and tools for national defense. Responsibilities include developing prototype algorithms, evaluating performance, and supporting field testing, with opportunities to contribute