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Signal Processing Intern Jobs in Raleigh, NC (NOW HIRING)

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How much do signal processing intern jobs pay per hour?

As of Jun 18, 2026, the average hourly pay for signal processing intern in Raleigh, NC is $16.82, according to ZipRecruiter salary data. Most workers in this role earn between $14.04 and $18.70 per hour, depending on experience, location, and employer.

What is a Signal Processing Intern job?

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 in the Signal Processing Intern position, 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.

What are the most commonly searched types of Signal Processing jobs in Raleigh, NC? The most popular types of Signal Processing jobs in Raleigh, NC are:
What job categories do people searching Signal Processing Intern jobs in Raleigh, NC look for? The top searched job categories for Signal Processing Intern jobs in Raleigh, NC are:
What cities near Raleigh, NC are hiring for Signal Processing Intern jobs? Cities near Raleigh, NC with the most Signal Processing Intern job openings:

Intern - Lab/TAC Network Engineer

Extreme Networks

Raleigh, NC • On-site

Other

Posted 13 days ago


Job description

Over 50,000 customers globally trust our end-to-end, cloud-driven networking solutions. They rely on our top-rated services and support to accelerate their digital transformation efforts and deliver unprecedented progress. With double-digit growth year over year, no provider is better positioned to deliver scalable outcomes than Extreme.

Inclusion is one of our core values and in our DNA. We are committed to fostering an inclusive workplace that embraces our differences and creates an atmosphere where all our employees thrive because of their differences, not in spite of them.

Become part of Something big with Extreme! As a global networking leader, learn why there's no better time to join the Extreme team.

The Lab Network Engineer Intern will learn routing and switching protocols using Extreme Networks multi-layer Ethernet switches. The LNE will learn how to design, implement, and troubleshoot networks working in the Services Lab Operations team. Candidates should have Windows and Linux experience, basic networking knowledge, excellent communication skills, and a passion to learn technology.
 
The Lab Network Engineer will work in the Services Lab Operations team in Morrisville, North Carolina. They will interface directly with the lab manager on a regular basis to:
 
         Learn Extreme Networks products, routing & switching protocols, and lab operations
         Setup networking equipment for Technical Support Engineers (TSEs) to use for customer support
         Partner with TSEs to help replicate customers' network issues (software, hardware, configuration)
         Assist with lab operations (racking, cabling, troubleshooting, managing equipment, etc.)
         Prepare to become a Technical Support Engineer, Network Engineer, or a related position
 
Success for this position is based on the following:
 
         Demonstrating technical aptitude, critical thinking, and communication skills to solve problems
         Passing certifications & internal training on products & network protocols
         Adhering to Service Level Agreements (SLAs) for lab setups and replications
         Accurately documenting work activities in a clear and concise manner
         Improving lab operations and processes on an ongoing basis
         Training various lab users on systems and processes
 
Candidate Requirements:
 
Required Knowledge, Skills and Abilities
         Passion and aptitude for learning technology and solving problems
         Strong written and verbal communication skills
         Basic networking knowledge including Ethernet, TCP/IP, OSI model, routing and switching
         Experience in a service-oriented position
         Can work independently with minimal guidance as well as collaboratively with other team members
         Excellent organization and time management skills
 
Preferred Skills
      Experience working with routers and switches in a lab environment or technical support position
      Knowledge of servers and virtualization (VMware, Linux, Microsoft)
      Knowledge of scripting language(s)
 
 
Background Experiences
 
     Pursuing a Bachelor's degree in a computer or networking related field
     Customer service experience, preferably in technical support
     Setting up and managing home networks (wired and wireless)
     Pursuing industry standard certifications
 
Extreme Networks, Inc. (EXTR) creates effortless networking experiences that enable all of us to advance. We push the boundaries of technology leveraging the powers of machine learning, artificial intelligence, analytics, and automation. Over 50,000 customers globally trust our end-to-end, cloud-driven networking solutions and rely on our top-rated services and support to accelerate their digital transformation efforts and deliver progress like never before. For more information, visit Extreme's website or follow us on Twitter, LinkedIn, and Facebook.

We encourage people from underrepresented groups to apply. Come Advance with us! In keeping with our values, no employee or applicant will face discrimination/harassment based on: race, color, ancestry, national origin, religion, age, gender, marital domestic partner status, sexual orientation, gender identity, disability status, or veteran status. Above and beyond discrimination/harassment based on "protected categories," Extreme Networks also strives to prevent other, subtler forms of inappropriate behavior (e.g., stereotyping) from ever gaining a foothold in our organization. Whether blatant or hidden, barriers to success have no place at Extreme Networks.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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