Signal Processing Engineer

APPLICATION INSTRUCTIONS:

• CURRENT PENN STATE EMPLOYEE (faculty, staff, technical service, or student), please login to Workday to complete the internal application process. Please do not apply here, apply internally through Workday.
• CURRENT PENN STATE STUDENT (not employed previously at the university) and seeking employment with Penn State, please login to Workday to complete the student application process. Please do not apply here, apply internally through Workday.
• If you are NOT a current employee or student, please click "Apply" and complete the application process for external applicants.

Approval of remote and hybrid work is not guaranteed regardless of work location. For additional information on remote work at Penn State, see Notice to Out of State Applicants.

POSITION SPECIFICS

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.

ARL is an authorized DoD SkillBridge partner and welcomes all transitioning military members to apply.

You will:

• 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. 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

Required skills/experience areas include:

• 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 include:

• 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
If filled as Research and Development Engineer - Signal Processing (ARL) - Intermediate Professional, this position requires:Bachelor's Degree - Engineering or Science2+ years of relevant experienceRequired Certifications:NoneIf filled as Research and Development Engineer - Signal Processing (ARL) - Professional, this position requires:Bachelor's Degree - Engineering or ScienceNo prior relevant work experience requiredRequired Certifications:None

ARL's purpose is to research and develop innovative solutions to challenging scientific, engineering, and technology problems in support of the Navy, the Department of Defense (DoD), and the Intel Community (IC). FOR FURTHER INFORMATION on ARL, visit our website at

BACKGROUND CHECKS/CLEARANCES
Employment with the University will require successful completion of background check(s) in accordance with University policies.

Notice regarding employment at the Applied Research Laboratory (ARL):Employees must be eligible to obtain a government security clearance, participate in the ARL drug testing program, and comply with electronic and physical monitoring requirements applicable to federal contractors. ARL operates in a secure information environment involving Unclassified, Controlled Unclassified Information (CUI), and Classified information. Personal electronic devices brought onsite must be registered and may be restricted from certain areas. You must be a U.S. citizen to apply.

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

Salary Structure - Information on Penn State's salary structure

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. For more detailed information, please visit our Benefits Page.

CAMPUS SECURITY CRIME STATISTICS

Pursuant to the Jeanne Clery Disclosure of Campus Security Policy and Campus Crime Statistics Act and the Pennsylvania Act of 1988, Penn State publishes a combined Annual Security and Annual Fire Safety Report (ASR). The ASR includes crime statistics and institutional policies concerning campus security, such as those concerning alcohol and drug use, crime prevention, the reporting of crimes, sexual assault, and other matters. The ASR is available for review here.

EEO IS THE LAW

Penn State is an equal opportunity employer and is committed to providing employment opportunities to all qualified applicants without regard to race, color, religion, age, sex, sexual orientation, gender identity, national origin, disability or protected veteran status. If you are unable to use our online application process due to an impairment or disability, please contact View phone number on click.appcast.io.

Federal Contractors Labor Law Poster

PA State Labor Law Poster

Penn State Policies

Copyright Information

Hotlines