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Signal Processing Intern Jobs in Colorado (NOW HIRING)

Stacy Witbeck

Internship: Signal Design

Littleton, CO · On-site

$25/hr

Matlab Processing of Electrical Signal Data * Perform calculations using train braking algorithms ... For 1st time interns - Participation in our Annual Intern Day event held in either our Alameda or ...

Stacy Witbeck

Internship: Signal Design

Littleton, CO · On-site

$25/hr

Matlab Processing of Electrical Signal Data * Perform calculations using train braking algorithms ... For 1st time interns - Participation in our Annual Intern Day event held in either our Alameda or ...

Sony

$50/hr

Responsibilities As a research intern, you will investigate and apply novel algorithms related to ... audio signal processing. * Strong analytical and programming skills in deep learning using ...

Sony

$50/hr

Responsibilities As a research intern, you will investigate and apply novel algorithms related to ... audio signal processing. * Strong analytical and programming skills in deep learning using ...

Sony

$50/hr

Responsibilities As a research intern, you will investigate and apply novel algorithms related to ... audio signal processing. * Strong analytical and programming skills in deep learning using ...

Sony

$50/hr

Responsibilities As a research intern, you will investigate and apply novel algorithms related to ... audio signal processing. * Strong analytical and programming skills in deep learning using ...

Sony

$50/hr

Responsibilities As a research intern, you will investigate and apply novel algorithms related to ... audio signal processing. * Strong analytical and programming skills in deep learning using ...

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How much do signal processing intern jobs pay per hour?

As of Sep 15, 2026, the average hourly pay for signal processing intern in Colorado is $18.20, according to ZipRecruiter salary data. Most workers in this role earn between $15.14 and $20.24 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 Colorado?

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

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

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

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

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

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

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

Signal Processing Intern jobs near you
Infographic showing various Signal Processing Intern job openings in Colorado as of September 2026, with employment types broken down into 1% As Needed, 78% Full Time, 17% Part Time, 1% Temporary, 2% Contract, and 1% Nights. Highlights an 91% Physical, 2% Hybrid, and 7% Remote job distribution, with an average salary of $37,849 per year, or $18.2 per hour.

2027 Internship Opportunity: Research & Innovation Support Intern

Pueblo, CO • On-site

ASSOCIATION OF AMERICAN RAILROADS
51 - 200 employees
Learn more about ASSOCIATION OF AMERICAN RAILROADSexternal

$20/hr

Full-time

Retirement

Posted 14 days ago

Key responsibilities

  • Support the inspection program by preprocessing inspection datasets and developing data fusion methodologies.

  • Develop and train machine learning models for flaw detection and material fatigue prediction, and deploy models onto edge devices.

  • Validate model outputs through testing, statistical analysis, and demonstration of developed approaches.

Job description

Description
Overview:
The internship will support the Association of American Railroads (AAR) Strategic Research Initiative (SRI) inspection program, particularly rail and wheel inspection projects.
Projects:
  • Rail Inspection
    • Machine learning on raw time-series ultrasonic data (A-scans)
    • Integrate an edge computing device with ultrasonic hardware/software for real-time A-scan analysis and processing
    • Develop time-series ultrasonic and electromagnetic data fusion approach for rolling contact fatigue (RCF) characterization in rails
    • Demonstration of developed approach/methodology
  • Wheel Inspection
    • Wheel sub-surface fatigue crack (SSFC) growth monitoring using a multi-sensor data fusion approach
    • Develop data fusion methodology
    • Demonstrate the developed approach/ methodology

Preferred Level of Education:
  • M.S. or Ph.D. students in the Engineering field or computer Science/ Data Science.

Primary Responsibilities:
  • Data Preprocessing: Clean, normalize, and annotate large inspection datasets (e.g., images, time-series signals).
  • Data Fusion Implementation: Develop algorithms (e.g., Kalman filters, deep learning architectures) that merge data from multiple inspection sensors to improve defect detection accuracy.
  • Model Training: Build and train machine learning models (CNNs, RNNs, or Transformers) using frameworks like PyTorch or TensorFlow to classify flaws or predict material fatigue.
  • Edge Optimization: Deploy, quantize, and compress trained AI/ML models to run efficiently on low-power, localized edge devices (e.g., embedded systems, IoT sensors).
  • Testing & Validation: Validate model outputs using statistical bounds and Probability of Detection (POD) studies.
  • Ensure that all duties and responsibilities are performed in a safe manner.
  • Perform other related duties as assigned.

Requirements
Required Skills & Abilities:
  • Open to learning and living the MxV Rail values (Momentum, Insight, Teamwork, Rigor, Purpose) in all facets of the organization's work.
  • Bachelor's degree in mechanical engineering, Civil Engineering, Electrical Engineering, Computer Science, Data Science, or a related field.
  • Knowledge of non-destructive testing (NDT) and non-destructive evaluation (NDE) principles and methodologies.
  • Understanding of signal processing concepts and techniques.
  • Academic or practical experience with artificial intelligence (AI) and machine learning (ML) applications.
  • Must be proficient in coding.
  • MxV Rail policy requires all prospective employees to complete and pass a criminal background check (Disclosure for Consumer Reports Consent Form) and a pre-employment substance abuse screening (Applicant Consent for Drug Testing Form) as a condition of employment.

Preferred Qualifications:
  • Programming Skills: Expert proficiency in Python (for ML modeling) and familiarity
  • with C/C++ (for hardware and edge integration).
  • AI/ML Toolkits: Hands-on experience with core ML libraries and frameworks such as PyTorch, TensorFlow, or Scikit-Learn.
  • Domain Knowledge: Foundational understanding of signal processing, wave mechanics, or structural materials.
  • Edge/Embedded Concepts: Familiarity with deploying models onto embedded platforms (e.g., NVIDIA Jetson, Raspberry Pi) or knowledge of quantization, pruning, and model optimization is highly preferred.

Length of Service:
  • Must be available to work from mid-May through the end of August.

Working Environment and Level of Physical Activity:
The conditions herein are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodation may be made to enable individuals with disabilities to perform essential job functions.
  • Environment: Office and field environments. Must be able to walk in an industrial and/or railroad environment, including uneven surfaces such as ballast.
  • Vision: See in the normal visual range with or without correction; vision sufficient to read computer screens and printed documents.
  • Hearing: Hear in the normal audio range with or without correction.

Benefits Overview:
  • Railroad Retirement
  • 401(k) Program with Company Match
  • Fortnight Schedule
  • Paid Holidays

Hourly Rate: $20

Apply