Signal Processing R&D Engineer

Penn State University; University Park (TX); Hybrid; USD 92,000 - 201,000; Full time

Benefits offered by this job

Tuition discount 75%

Comprehensive benefits

Retirement plans

Paid time off

Job summary

Penn State University’s Applied Research Laboratory (ARL) seeks an analytical engineer specializing in signal processing and communications to join the Strategic Systems Operation (SSO) Division. The role focuses on design, development, integration, and testing of advanced systems with national/international impact.

On-site in State College, with limited hybrid options and travel required. Responsibilities include applying expertise to evolving challenges, delivering on-time tasks, updating

Qualifications

• Bachelor's degree in Engineering or Science required; advanced degrees preferred depending on role.
• Strong background in signal processing, communications, and RF concepts.
• Experience with DSP, Kalman/Wiener/LMS adaptations and SDR IQ data processing.
• Proficiency in C/C++, MATLAB, Python for algorithm development.

Responsibilities

• Apply signal processing and communications expertise to programs with national/international impact.
• Ensure on-time completion of tasks and clear program status updates to stakeholders.
• Collaborate with engineering teams, sponsors, and principal investigators on designs.
• Support as part of a multi-disciplinary team in ARL's mission-driven environment.

Skills

Signal processing

C/C++

MATLAB

Python

Wireless comms

Kalman filter

DSP techniques

RF testing

OSI TCP/IP

Machine learning on IQ data

Sensor data analysis

Education

Bachelor's degree in Electrical Engineering, Computer Science, or Computer Engineering

Master's degree

PhD

Tools

MATLAB

Python

C/C++

Job description

Penn State University’s Applied Research Laboratory (ARL) seeks an analytical engineer specializing in signal processing and communications to join the Strategic Systems Operation (SSO) Division. The role focuses on design, development, integration, and testing of advanced systems with national/international impact.

On-site in State College, with limited hybrid options and travel required. Responsibilities include applying expertise to evolving challenges, delivering on-time tasks, updating