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R&D Engineer: Signal Processing Engineer

Remote / Online - Candidates ideally in
University Park, Dallas County, Texas, USA
Listing for: Penn State University
Full Time, Remote/Work from Home position
Listed on 2026-10-12
Job specializations:
  • Research/Development
    Electronics Engineer, Data Scientist, Research Scientist
Salary/Wage Range or Industry Benchmark: 92100 - 200808 USD Yearly USD 92100.00 200808.00 YEAR
Job Description & How to Apply Below
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 SPECIFICSYour working location will be fully on-site in State College, PA, but options exist for limited hybrid of on-site/work from home, based on project-dependent ability.

This role requires frequent travel to designated sponsor or associate contractor and second party locations within and outside the continental United States.

We are searching for analytical engineers with signal processing skills to join the Strategic Systems Operation (SSO) Division within the Information Advantage Office at the Applied Research Laboratory (ARL) at Penn State. This role will focus on research, design, development, integration, and testing of advanced signal processing and communications systems.

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

You will:

Apply your expertise in signal processing and communications to contribute to programs of national or international impact by identifying emerging challenges, research trends, and future opportunities

Ensure technical excellence and on-time completion of all project tasks

Develop and deliver clear updates on program status to Fleet-level personnel at both individual and community meetings

Interact and collaborate regularly with the engineering team, principal investigator, sponsors, and other stakeholders

Embrace ARL’s mission to discover, demonstrate, transition, and educate while contributing as a key member of a multi-disciplinary engineering team Required Skills/Experience areas include:

Advanced understanding of electrical engineering principles associated with communications and signal processing

Knowledge of beam-forming and ambiguity function processing

Familiarity with time-, frequency-, and amplitude/phase-difference of arrival for geolocation

Understanding of adaptive signal processing methods and techniques (Kalman, Wiener, RMS, LMS, etc.)Acquaintance with digital signal processing techniques used for tuning, filtering, and sampling RF signals

Experience in software-defined radio IQ data processing and acquisition

Working experience in algorithm design and implementation in software (e.g. C/C++, MATLAB, python, etc.)Understanding of data analysis, statistics, probability, and machine learning applied to IQ signals

Experience in sensor design and/or evaluation of sensor data

Working experience in noisy datasets and integrating noise reduction techniques/methods

Familiarity with analog and digital conversions along with Nyquist sampling theory

Experience or familiarity with statistical signal processing

Field test experience in data evaluation and RF troubleshooting

Familiarity with simulating signal processing block-diagrams and prototype design

Proficiency with converting prototype algorithms from baseline software in MATLAB for near-real time or post-time processing in C++Experience with time or frequency domain datasets

An understanding of communications protocols - OSI stack, UDP/TCP/IP Familiarity with wireless…
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