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Internship Signal Processing Research Scientist Jobs

Meta is seeking a Research Scientist with experience in product-focused signal processing and machine learning to help us create novel wearable sensors and algorithms to power the next generation of ...

Meta is seeking a Research Scientist with experience in product-focused signal processing and machine learning to help us create novel wearable sensors and algorithms to power the next generation of ...

... and associated algorithm research. We mature these technologies with the objective of ... Strong scientific programming skills including Matlab, Python, Simulink and/or C/C++ * Strong ...

... and associated algorithm research. We mature these technologies with the objective of ... Strong scientific programming skills including Matlab, Python, Simulink and/or C/C++ * Strong ...

Engineering: controls, estimation theory, digital signal processing, and machine learning ... A Research Scientist should have effective written and verbal communication skills, with the ...

Bachelor's Degree - Engineering or Science 2+ years of relevant experience Required Certifications: None If filled as Research and Development Engineer - Signal Processing (ARL) - Professional, this ...

... and associated algorithm research. We mature these technologies with the objective of ... Strong scientific programming skills including Matlab, Python, Simulink and/or C/C++ * Strong ...

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Internship Signal Processing Research Scientist information

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$50.5K

$130.1K

$174K

How much do internship signal processing research scientist jobs pay per year?

As of Jul 6, 2026, the average yearly pay for internship signal processing research scientist in the United States is $130,117.00, according to ZipRecruiter salary data. Most workers in this role earn between $107,500.00 and $173,000.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as an Internship Signal Processing Research Scientist, and why are they important?

To thrive as an Internship Signal Processing Research Scientist, you generally need a solid background in mathematics, signal processing theory, and programming, often supported by coursework or research experience in electrical engineering or a related field. Familiarity with technical tools such as MATLAB, Python, and signal analysis libraries, as well as experience using simulation or data acquisition systems, is typically required. Strong analytical thinking, problem-solving abilities, and effective communication skills help interns stand out when collaborating with research teams and presenting findings. These skills and qualities are crucial for developing innovative solutions and advancing research objectives in signal processing projects.

What is the difference between Internship Signal Processing Research Scientist vs Signal Processing Engineer?

AspectInternship Signal Processing Research ScientistSignal Processing Engineer
CredentialsTypically pursuing or holding a relevant degree (e.g., Electrical Engineering, Computer Science)Bachelor's or Master's in Electrical Engineering, Computer Science, or related field
Work EnvironmentResearch labs, academic settings, or R&D departments within tech companiesDesign, develop, and implement signal processing algorithms in industry settings
Industry UsagePrimarily in research projects, academic collaborations, or early-stage product developmentProduct development, system optimization, and deployment in commercial products

While both roles involve signal processing concepts, an Internship Signal Processing Research Scientist focuses on research and experimentation during an internship, often in academic or R&D environments. In contrast, a Signal Processing Engineer applies these skills in product development and system implementation within industry settings.

What types of projects or research topics can an Internship Signal Processing Research Scientist expect to work on?

As an Internship Signal Processing Research Scientist, you will likely be involved in projects such as developing algorithms for audio, image, or sensor data analysis, implementing machine learning techniques for signal enhancement, and supporting senior researchers with experimental design and data interpretation. Depending on the organization's focus, you may also contribute to real-time signal processing systems or simulation studies. Collaboration with multidisciplinary teams—including hardware engineers, data scientists, and software developers—is common, providing valuable exposure to both theoretical and applied aspects of signal processing.

What does an Internship Signal Processing Research Scientist do?

An Internship Signal Processing Research Scientist assists in the development, analysis, and implementation of algorithms that process signals such as audio, images, or sensor data. Interns typically support senior researchers by conducting experiments, analyzing data, and developing prototypes. They use mathematical and computational tools to extract meaningful information from raw signals, often applying their work to fields like telecommunications, medical imaging, or audio processing. The internship provides hands-on experience with real-world signal processing challenges while contributing to ongoing research projects.
What cities are hiring for Internship Signal Processing Research Scientist jobs? Cities with the most Internship Signal Processing Research Scientist job openings:
What are the most commonly searched types of Signal Processing Research Scientist jobs? The most popular types of Signal Processing Research Scientist jobs are:
What states have the most Internship Signal Processing Research Scientist jobs? States with the most job openings for Internship Signal Processing Research Scientist jobs include:

DSP Research Scientist

Cooperidge Consulting Firm

Monterey, CA • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 13 days ago

Be an early applicant


Job description

Cooperidge Consulting Firm is seeking a DSP Research Scientist for a nationally recognized leader in Advanced Signal Processing in Monterey, CA.

This role is designed for a high-level academic and technical practitioner dedicated to solving the most demanding signal processing problems in national security. You will serve as a Principal Investigator or lead technical collaborator, researching and implementing algorithms that extract intelligence from highly degraded RF environments—characterized by low SNR, heavy interference, and non-stationary conditions. This position offers the opportunity to translate complex customer goals into "mission-critical" software solutions using C/C++ and Python.
Job Responsibilities

  • Algorithm Innovation: Research, design, and implement advanced signal processing algorithms for RF-based applications, specifically focusing on detection and estimation theory.
  • Principal Investigation: Operate independently as a Principal Investigator (PI) or lead small, agile technical teams to solve high-complexity signal challenges.
  • Signal Analysis: Perform deep-dive RF signal analysis, reverse engineering, simulation, and wireless propagation modeling.
  • HPC Integration: Support the seamless transition of scientific algorithms into real-time, high-performance computing (HPC) environments.
  • Technical Communication: Translate sophisticated technical concepts and research findings into clear, actionable specifications for end-users and senior stakeholders.
  • Project Stewardship: Manage customer expectations, provide regular performance assessments, and ensure project milestones align with national security objectives.

Requirements

Education & Security (Mandatory)
  • M.S. in Electrical Engineering, Computer Engineering, or Applied Physics is REQUIRED (Ph.D. highly preferred).
  • ACTIVE Top Secret / SSBI Clearance is REQUIRED.
  • U.S. Citizenship is REQUIRED.
Core Experience
  • Minimum of 2 years of relevant experience (5+ years is highly preferred).
  • Expert proficiency in C/C++ and Python for scientific and numerical computing.
  • Deep technical background in at least one: Radar Processing, Adaptive Antenna Arrays, Navigation/Geolocation, or Digital Communications.
  • Mastery of Linux environments and open-source development toolchains.
Preferred Skills
  • Experience with Software Defined Radio (SDR) and RF/baseband architecture.
  • Knowledge of modern protocols such as LTE, WCDMA, 802.11, and 802.16.
  • Strong understanding of numerical linear algebra.

Benefits

  • Comprehensive health, vision, and dental insurance plans
  • Life insurance coverage
  • 401(k) retirement plan with company matching contributions
  • Paid time off including vacation, sick leave, and holidays
  • Opportunities for career growth and advancement