Process Engineering Positions

Signal Processing Engineer

We are looking for a highly motivated Signal Processing Engineer to join the Advanced Phenomenology Department at the Applied Research Laboratory (ARL) at Penn State University. You will assist our research efforts to develop novel sensing and estimation strategies that facilitate data-driven decision support. Under the mentorship of our R&D staff, you will utilize state-of-the-art tools in machine vision, UxV autonomy, and data processing. Your work will support a unique problem area that have applications in defense, manufacturing, law enforcement, security, and disaster relief. Our highly collaborative team is comprised of adaptable, curious, creative, lateral thinkers with both traditional and non-traditional backgrounds and multidisciplinary points-of-view. We offer opportunities to grow, explore, and experience multiple roles, and we encourage team members to pursue higher degrees and certifications in their field of study.

Support the research and testing of novel collection methods and strategies using multiple networked asset and evaluate signal processing strategies and UxV autonomy in sea, ground, air and space environments

Develop data architectures and pipelines for test and evaluation, document findings and recommend system modifications where needed

Research data fusion and estimation frameworks for sensor networks, i.e. Collaborate with geospatial imagery analysts and/or UxV operators to understand and automate data processing workflows and implementations

Collaborate with computer vision algorithm developers and data scientists to support the integration of machine learning algorithms

Apply scientific method and best practices across multiple disciplines to advance data and geospatial sciences and develop data analytics through systematic experimentation

Engage in research efforts ranging from proof-of-concept through integrated production

Technical skills and training in a field directly applicable or highly related to Computer Science, Applied Mathematics, Engineering, or Geospatial Sciences

Interest in the design and development of data fusion and estimation frameworks using heterogenous sensor network configurations

Computer programming in one or more of the following: Python, C++, MATLAB, Java

Exposure to spatio-temporal data fusion, applicable database architectures and machine learning applications

Willingness to work within DoD/IC Analysis or Operational environments

Willingness and ability to obtain a government security clearance

Your working location will be on-site in State College, PA. Questions related to flexible work should be directed to the hiring manager during the interview process.

Minimum education, work experience & required certifications:

Bachelor's Degree - Engineering or Science

Bachelor's Degree - Engineering or Science

No prior relevant work experience required

Penn State provides a competitive benefits package for full-time employees designed to support both personal and professional well-being. In addition to comprehensive medical, dental, and vision coverage, employees enjoy robust retirement plans and substantial paid time off which includes holidays, vacation and sick time. One of the standout benefits is the generous 75% tuition discount, available to employees as well as eligible spouses and children.