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Signal Processing Research Scientist Jobs (NOW HIRING)

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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Signal Processing Research Scientist information

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$50.5K

$130.1K

$174K

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

As of Jul 5, 2026, the average yearly pay for 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 is a Signal Processing Research Scientist job?

A Signal Processing Research Scientist develops and applies advanced algorithms to analyze, manipulate, and interpret signals such as audio, images, radar, or biomedical data. They work in industries like telecommunications, defense, healthcare, and finance to enhance data accuracy and efficiency. Their role involves mathematical modeling, algorithm design, and software implementation using tools like MATLAB, Python, or C++. Additionally, they collaborate with engineers and researchers to solve complex problems and improve signal-based technologies.

What are the key skills and qualifications needed to thrive in the Signal Processing Research Scientist position, and why are they important?

To thrive as a Signal Processing Research Scientist, a solid background in mathematics, statistics, and advanced signal processing techniques, combined with a relevant advanced degree (such as a Master's or PhD in Electrical Engineering, Computer Science, or a related field), is essential. Proficiency with programming languages like MATLAB, Python, or C++, as well as experience with simulation tools and specialized software, is typically required. Strong analytical thinking, effective communication, and innovative problem-solving abilities help researchers excel in team-based environments and present complex findings clearly. These skills and qualities are crucial for developing novel solutions, advancing technology, and effectively collaborating on interdisciplinary research projects.

What are the typical projects and daily tasks for a Signal Processing Research Scientist?

Signal Processing Research Scientists commonly work on projects such as developing algorithms for audio, image, or sensor data analysis, improving communication systems, or enhancing machine learning applications with signal data. Day-to-day tasks often involve designing experiments, simulating and analyzing large datasets, coding and testing new algorithms, and collaborating with engineers and other researchers. Many roles also include presenting results to colleagues, writing technical reports or research papers, and attending meetings to discuss progress and goals. This collaborative and research-oriented environment offers opportunities to contribute to innovative solutions across industries like telecommunications, defense, healthcare, and consumer electronics.

What cities are hiring for Signal Processing Research Scientist jobs? Cities with the most 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 Signal Processing Research Scientist jobs? States with the most job openings for Signal Processing Research Scientist jobs include:
Infographic showing various Signal Processing Research Scientist job openings in the United States as of June 2026, with employment types broken down into 11% As Needed, 67% Full Time, 11% Part Time, and 11% Temporary. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $130,117 per year, or $62.6 per hour.

DSP Research Scientist

Cooperidge Consulting Firm

Monterey, CA โ€ข On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 13 days ago


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 environmentsโ€”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