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Signal Processing Intern Jobs in Maryland (NOW HIRING)

HASI

General Interest in HASI

Annapolis, MD

Reasonable accommodations are modifications or adjustments to the application or hiring process ... signals in application materials based on available information. These tools assist our recruitment ...

2K

Multimedia Specialist

Annapolis, MD · On-site

$68K - $101K/yr

... processes. Collaboration: Builds productive working relationships with internal developers and ... Understanding of digital cinema cameras, professional audio signal flow, and studio lighting ...

2K

Multimedia Specialist

Annapolis, MD · On-site

$68K - $101K/yr

... processes. Collaboration: Builds productive working relationships with internal developers and ... Understanding of digital cinema cameras, professional audio signal flow, and studio lighting ...

HASI

Analyst/Associate, Portfolio Management

Annapolis, MD · On-site

$100K - $147K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Investment Due Diligence Work closely with the Investment Team to support due diligence processes ... against any employee, intern, or applicant on the basis of race, color, gender, sex, sexual ...

HASI

Real Estate Associate, Post-Closing Land Team

Annapolis, MD

$110K - $140K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as ... signals in application materials based on available information. These tools assist our recruitment ...

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All JobsSignal Processing Intern JobsSignal Processing Intern Jobs in Maryland

Signal Processing Intern information

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How much do signal processing intern jobs pay per hour?

As of Aug 18, 2026, the average hourly pay for signal processing intern in Maryland is $16.80, according to ZipRecruiter salary data. Most workers in this role earn between $13.99 and $18.65 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 Maryland?

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

What are popular job titles related to Signal Processing Intern jobs in Maryland?

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

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

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

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

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

Signal Processing Intern jobs near you
Infographic showing various Signal Processing Intern job openings in Maryland as of August 2026, with employment types broken down into 56% Internship, and 44% Full Time. Highlights an 100% In-person job distribution, with an average salary of $34,934 per year, or $16.8 per hour.

General Interest in HASI

HASI

Annapolis, MD

Full-time

Re-posted 20 days ago

Job description

 
About HASI
 
HASI is an investor in sustainable infrastructure assets advancing the energy transition. With more than $17 billion in managed assets, our investments are diversified across multiple asset classes, including utility-scale solar, storage, and onshore wind; distributed solar and storage; RNG; and energy efficiency. We combine deep expertise in energy markets and financial structuring with long-standing programmatic client partnerships to deliver superior risk-adjusted returns and measurable environmental benefits. HA Sustainable Infrastructure Capital, Inc. is listed on the New York Stock Exchange (Ticker: HASI). For more information, please visit hasi.com.
WORK AUTHORIZATION
 
HASI is willing to take over sponsorship for existing H1-B visas for exceptional talent. We are unable to provide new H-1B sponsorship at this time.
 
EEO STATEMENT
 
The Company maintains a policy of non-discrimination in employment and complies with and supports all Federal, state, and local laws regarding discrimination in employment.  Specifically, the Company does not discriminate in employment opportunities or practices against any employee, intern, or applicant on the basis of race, color, gender, sex, sexual orientation, gender identity, religion, ancestry, national origin, age, citizenship status, marital status, pregnancy (including childbirth, lactation, or related medical conditions), mental or physical disability, veteran status, uniformed servicemember status, genetic information (including testing and characteristics), or any other characteristic to the extent prohibited by federal, state, or local law. Decisions regarding staffing, selection, and promotions are made on the basis of individual qualifications related to the requirements of the position.  If you need reasonable accommodation for a job opening, please connect with us at [email protected] and describe the specific accommodation requested for a disability-related limitation. Reasonable accommodations are modifications or adjustments to the application or hiring process that would enable you to fully participate in that process.
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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