Signal Processing Engineer

About the role

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.

Responsibilities

• Support the research and testing of novel collection methods and strategies using multiple networked assets
• 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, e.g., Kalman filter approaches
• 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
• Derive physics-based and mathematical models where appropriate for validation and verification
• Apply scientific method and best practices across multiple disciplines to advance data and geospatial sciences and develop data analytics through systematic experimentation
• Grow career and capabilities, plan and conduct applied research, provide technical guidance and oversight, contribute to large research efforts, 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

Requirements

• 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

Preferred Skills/Experience Areas

• Willingness to work within DoD/IC Analysis or Operational environments
• Willingness and ability to obtain a government security clearance

Qualifications

• Bachelor's Degree - Engineering or Science
• 2+ years of relevant experience

Skills

• 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

Benefits

• Salary range: $92,100.00 - $174,708.00
• Comprehensive medical, dental, and vision coverage
• Robust retirement plans
• Substantial paid time off which includes holidays, vacation, and sick time
• 75% tuition discount for employees, spouses, and children

Pay

The salary range for this position, including all possible grades, is $92,100.00 - $174,708.00.

Schedule

Your working location will be on-site in State College, PA.

Benefits

• Comprehensive medical, dental, and vision coverage
• Robust retirement plans
• Substantial paid time off which includes holidays, vacation, and sick time
• 75% tuition discount for employees, spouses, and children

Contact Information

For further information on ARL, visit our website at www.arl.psu.edu.