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Temporary 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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Temporary Signal Processing Research Scientist information

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$50.5K

$130.1K

$174K

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

As of Jul 6, 2026, the average yearly pay for temporary 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 a Temporary Signal Processing Research Scientist, and why are they important?

To thrive as a Temporary Signal Processing Research Scientist, you typically need an advanced degree in electrical engineering, computer science, or a related field with a strong background in signal processing theory and algorithms. Familiarity with MATLAB, Python, and specialized signal processing libraries, along with experience in simulation and data analysis tools, is usually required. Strong analytical thinking, problem-solving skills, and the ability to communicate complex findings clearly are valuable soft skills in this role. These competencies are crucial for developing innovative solutions, producing rigorous research outputs, and collaborating effectively in a temporary, project-driven research environment.

What does a Temporary Signal Processing Research Scientist do?

A Temporary Signal Processing Research Scientist is responsible for conducting research and development in the field of signal processing, often for a specific project or limited period. Their work involves designing and implementing algorithms to analyze, interpret, and manipulate signals such as audio, images, or sensor data. These scientists collaborate with engineers and other researchers to solve complex problems, validate models, and contribute to publications or patents. As a temporary position, the role typically focuses on achieving specific research objectives within a set timeframe.

What are the typical projects and collaborative dynamics for a Temporary Signal Processing Research Scientist?

As a Temporary Signal Processing Research Scientist, you may work on short-term, high-impact research projects such as developing new algorithms for data analysis, improving signal filtering techniques, or prototyping real-time signal processing systems. Collaboration is key in this role; you’ll often partner with engineers, software developers, and other scientists to share findings and integrate solutions into larger systems. The work environment is typically fast-paced and project-based, requiring adaptability and strong communication skills. Temporary roles can also offer exposure to cutting-edge research and the opportunity to build relationships with leading experts in the field.

What is the difference between Temporary Signal Processing Research Scientist vs Temporary Communications Research Scientist?

AspectTemporary Signal Processing Research ScientistTemporary Communications Research Scientist
Required CredentialsMaster's or Ph.D. in Electrical Engineering, Signal Processing, or related fieldsMaster's or Ph.D. in Electrical Engineering, Communications, or related fields
Work EnvironmentResearch labs, tech companies, universitiesResearch labs, telecom companies, universities
Industry UsageFocuses on signal algorithms, filtering, and analysisFocuses on communication systems, protocols, and network performance

Temporary Signal Processing Research Scientists and Temporary Communications Research Scientists share similar educational backgrounds and work environments. However, their focus areas differ: the former specializes in signal algorithms and analysis, while the latter concentrates on communication systems and network protocols. Both roles are essential in tech and research industries, often overlapping but distinct in their core responsibilities.

What cities are hiring for Temporary Signal Processing Research Scientist jobs? Cities with the most Temporary 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 Temporary Signal Processing Research Scientist jobs? States with the most job openings for Temporary 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