Cutting-Edge Computer Vision R&D Engineer

Penn State University; University Park (TX); On-site; USD 106,000 - 201,000; Full time

Benefits offered by this job

75% tuition discount

Competitive benefits package

Job summary

Penn State University is seeking a Computer Vision Engineer to join the ARL in State College, PA, focusing on design, development, and deployment of advanced computer vision systems for defense and security applications.

The role involves working on object detection, tracking, recognition, and scene understanding, with opportunities to apply multi-int data, geospatial analysis, and production-ready research.

Qualifications

• Bachelor’s Degree - Engineering or Science
• 5+ years of relevant experience

Responsibilities

• Develop, test, and report on computer vision algorithms to further understanding and capabilities of analytic tools
• Combine multi-int source data with modeling capabilities that associate real world objects to known signatures and doctrines
• Develop the ability to discover and capture information from geospatial data to better represent the most advanced understanding of world events, systems, and discrete entities
• Grow career and capabilities, conduct applied research, provide technical guidance, report results, foster trusted relationships with sponsors, and advise on new and evolving technology and techniques
• Engage in research efforts ranging from proof-of-concept through integrated production systems
• Collaborate on programs as part of a team

Skills

Python

R

Java

C++

Matlab

Communication

Education

Bachelor’s Degree in Engineering or Science

Tools

Git

Open Source Tools

Computer Vision

Modeling

Machine Learning Tools

Job description

Penn State University is seeking a Computer Vision Engineer to join the ARL in State College, PA, focusing on design, development, and deployment of advanced computer vision systems for defense and security applications.

The role involves working on object detection, tracking, recognition, and scene understanding, with opportunities to apply multi-int data, geospatial analysis, and production-ready research.