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Signal Processing Intern Jobs in Pennsylvania (NOW HIRING)

The Pennsylvania State University

$16.50 - $21.50/hr

POSITION SPECIFICS The Communications and Signal Processing Division of the Applied Research Laboratory (ARL) at Penn State University is seeking engineering undergraduate interns to work part-time ...

Woodstream

Supply Chain Material Planning Intern

Lancaster, PA · On-site

$17.50 - $23.50/hr

... signals to understand purchasing and production requirements based on sales projections and ... Help document process improvement observations and contribute ideas for enhancing material planning ...

TE Connectivity

$20.91/hr

Our broad range of connectivity and sensor solutions enable the distribution of power, signal and ... Tool & process evaluation and qualification using statistical analysis tools * Perform root cause ...

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Signal Processing Intern information

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How much do signal processing intern jobs pay per hour?

As of Aug 25, 2026, the average hourly pay for signal processing intern in Pennsylvania is $17.35, according to ZipRecruiter salary data. Most workers in this role earn between $14.47 and $19.28 per hour, depending on experience, location, and employer.

What is a signal processing intern?

A Signal Processing Intern is a temporary position where a student or recent graduate assists in analyzing, designing, and implementing algorithms to process signals such as audio, images, and sensor data. They work with tools like MATLAB, Python, and digital signal processors to improve data transmission and interpretation. Interns may contribute to projects in telecommunications, biomedical engineering, or machine learning while gaining hands-on experience in filtering, Fourier analysis, and signal transformation. This role often involves collaboration with engineers and researchers to develop innovative solutions.

What kind of projects and collaboration can I expect as a signal processing intern?

As a Signal Processing Intern, you are likely to work on projects involving the analysis, filtering, and interpretation of signals from various sources, such as audio, radio, or sensor data. You may contribute to tasks like prototyping algorithms, testing signal processing techniques, and supporting ongoing research or development efforts. Collaboration is a key part of the role, as you will interact closely with engineers, researchers, and sometimes software developers to implement and optimize solutions. This hands-on experience will give you deeper insight into real-world signal processing applications and prepare you for more advanced roles in the industry.

What are the key skills and qualifications needed to thrive as a signal processing intern, and why are they important?

To thrive as a Signal Processing Intern, you need a solid understanding of digital signal processing (DSP) fundamentals, proficiency in mathematics, and a background in electrical engineering or computer science. Familiarity with MATLAB, Python (NumPy/SciPy), and signal analysis tools is highly valuable, and coursework or certifications in DSP or related fields are often preferred. Strong analytical thinking, attention to detail, and effective teamwork and communication skills help interns excel in project-based environments. These capabilities enable interns to contribute meaningful insights and solutions to complex signal processing challenges typically encountered in research and product development.

Is signal processing in demand?

Signal processing is in high demand across industries such as telecommunications, aerospace, and healthcare, driven by advancements in wireless communication, sensor technology, and data analysis. Signal processing interns with skills in MATLAB, Python, or similar tools are often sought after as organizations focus on improving data quality and system performance.

What are the most commonly searched types of Signal Processing jobs in Pennsylvania?

The most popular types of Signal Processing jobs in Pennsylvania are:

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For Signal Processing Intern jobs in Pennsylvania, the most frequently searched job titles are:

What job categories do people searching Signal Processing Intern jobs in Pennsylvania look for?

The top searched job categories for Signal Processing Intern jobs in Pennsylvania are:

What cities in Pennsylvania are hiring for Signal Processing Intern jobs?

Cities in Pennsylvania with the most Signal Processing Intern job openings:

Signal Processing Intern jobs near you
Infographic showing various Signal Processing Intern job openings in Pennsylvania as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 11% Part Time, 1% Temporary, 2% Contract, and 1% Nights. Highlights an 91% Physical, 3% Hybrid, and 6% Remote job distribution, with an average salary of $36,081 per year, or $17.3 per hour.

Machine Learning Internship - PhD: 2027

Bala Cynwyd, PA • On-site

SIG Susquehanna
See more jobs at SIG Susquehannaexternal

$80 - $120/hr

Other

This job post has expired today. Applications are no longer accepted.

Job description

Overview

Our Machine Learning PhD Internship is a 10-week immersive experience designed for PhD candidates who are passionate about solving high-impact problems at the intersection of data, algorithms, and markets.

As a Machine Learning Intern at Susquehanna, you’ll work on high-impact projects that closely reflect the challenges and workflows of our full-time research team. You’ll apply your technical expertise in machine learning and data science to real-world financial problems, while developing a deep understanding of how machine learning integrates into Susquehanna’s research and trading systems. You will leverage vast and diverse datasets and apply cutting‑edge machine learning at scale to drive data‑informed decisions in predictive modeling to strategic execution.

What You Can Expect
  • Conduct research and develop ML models to identify patterns in noisy, non‑stationary data
  • Work side‑by‑side with our Machine Learning team on real, impactful problems in quantitative trading and finance, bridging the gap between cutting‑edge ML research and practical implementation
  • Collaborate with researchers, developers, and traders to improve existing models and explore new algorithmic approaches
  • Design and run experiments using the latest ML tools and frameworks
  • One‑on‑one mentorship from experienced researchers and technologists
  • Participate in a comprehensive education program with deep dives into Susquehanna’s ML, quant, and trading practices
  • Apply rigorous scientific methods to extract signals from complex datasets and shape our understanding of market behavior
  • Explore various aspects of machine learning in quantitative finance from alpha generation and signal processing to model deployment and risk‑aware decision making
What we’re looking for
  • Currently pursuing a PhD in Computer Science, Machine Learning, Statistics, Physics, Applied Mathematics, or a closely related field
  • Proven experience applying machine learning techniques in a professional or academic setting
  • Strong publication record in top‑tier conferences such as NeurIPS, ICML, or ICLR
  • Hands‑on experience with machine learning frameworks, including PyTorch and TensorFlow
  • Deep interest in solving complex problems and a drive to innovate in a fast‑paced, competitive environment
Why Join Us?
  • Work with a world‑class team of researchers and technologists
  • Access to unparalleled financial data and computing resources
  • Opportunity to make a direct impact on trading performance
  • Collaborative, intellectually stimulating environment with global reach
About Susquehanna

Susquehanna is a global quantitative trading firm powered by scientific rigor, curiosity, and innovation. Our culture is intellectually driven and highly collaborative, bringing together researchers, engineers, and traders to design and deploy impactful strategies in our systematic trading environment. To meet the unique challenges of global markets, Susquehanna applies machine learning and advanced quantitative research to vast datasets in order to uncover actionable insights and build effective strategies. By uniting deep market expertise with cutting‑edge technology, we excel in solving complex problems and pushing boundaries together.

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