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Signal Processing Research Engineer Jobs (NOW HIRING)

Cypress HCM

Signal Processing Engineer

Redwood City, CA

$150 - $190K/hr

Signal Processing Engineer Location: Belmont, CA (hybrid) Employees : Industry : Wireless services ... PhD in Electrical Engineering, or equivalent research experience, specializing in wireless ...

Norbert Health

Signal Processing Engineer

New York, NY · On-site

The position We're looking for a Signal Processing Engineer to join our algorithm and development ... Familiarity with DevOps practices for reproducible research (experiment tracking, data versioning)

Norbert Health

Signal Processing Engineer

New York, NY · On-site

The position We're looking for a Signal Processing Engineer to join our algorithm and development ... Familiarity with DevOps practices for reproducible research (experiment tracking, data versioning)

Precise Systems

Signal Processing Engineer

Crane, IN · On-site

... Research, Platform Lifecycle Support, and Technical Services. Since our establishment, we have ... We are seeking a Signal Processing Engineer to support the development and testing of electronic ...

Precise Systems

Signal Processing Engineer

Crane, IN

... Research, Platform Lifecycle Support, and Technical Services. Since our establishment, we have ... We are seeking a Signal Processing Engineer to support the development and testing of electronic ...

Neuralink

Signal Processing Engineer

Austin, TX

$121K - $230K/yr

Job Summary We are seeking a talented Signal Processing Engineer to design, develop, and optimize advanced digital signal processing (DSP) algorithms for on-chip and embedded implementation. In this ...

Leidos

Signal Processing Engineer

San Diego, CA · On-site

$87K - $157K/yr

The Electronic Warfare Divison at Leidos currently has an opening for a Signal Processing Engineer ... More broadly, you will advance the state of the art in research and advanced applications to ...

The Pennsylvania State University

POSITION SPECIFICS We are looking for a highly motivated Signal Processing Engineer to join the ... You will assist our research efforts to develop novel sensing and estimation strategies that ...

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Signal Processing Research Engineer information

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$53.5K

$131.3K

$193.5K

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

As of Jun 20, 2026, the average yearly pay for signal processing research engineer in the United States is $131,349.00, according to ZipRecruiter salary data. Most workers in this role earn between $108,500.00 and $147,500.00 per year, depending on experience, location, and employer.

What does a Signal Processing Research Engineer do?

A Signal Processing Research Engineer designs, develops, and implements algorithms and systems that analyze and manipulate signals such as audio, video, radar, or biomedical data. Their work often involves researching new techniques for filtering, compressing, or extracting information from signals to improve performance in various applications. They collaborate with interdisciplinary teams to solve complex problems in fields like telecommunications, medical imaging, and machine learning. Typically, they use programming languages such as MATLAB or Python and apply advanced mathematical concepts to their work.

What are the key skills and qualifications needed to thrive as a Signal Processing Research Engineer, and why are they important?

To thrive as a Signal Processing Research Engineer, you need a strong background in mathematics, digital signal processing theory, and typically a graduate degree in electrical engineering or a related field. Proficiency with MATLAB, Python, and signal analysis libraries, as well as experience using simulation and modeling tools, is essential. Analytical thinking, creativity, and effective communication are vital soft skills for developing innovative solutions and collaborating with multidisciplinary teams. These skills ensure accurate research outcomes, efficient problem-solving, and the advancement of cutting-edge signal processing technologies.

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

AspectSignal Processing Research EngineerSignal Processing Engineer
Required CredentialsBachelor's/Master's/PhD in Electrical Engineering, Computer Science, or related fieldsBachelor's or Master's in Electrical Engineering, Computer Science, or related fields
Work EnvironmentResearch labs, R&D departments, academiaProduct development teams, engineering departments, industry settings
Employer & Industry UsageResearch institutions, tech companies, universitiesTech companies, telecommunications, consumer electronics
Common Search & ComparisonYesYes

The main difference between a Signal Processing Research Engineer and a Signal Processing Engineer lies in their focus and work environment. Research Engineers primarily engage in developing new algorithms and conducting experiments in research settings, often holding advanced degrees. Signal Processing Engineers typically work on implementing and optimizing signal processing solutions within products and systems in industry. Both roles require strong technical skills, but their day-to-day tasks and objectives differ significantly.

What are some common challenges faced by Signal Processing Research Engineers when developing new algorithms?

Signal Processing Research Engineers often encounter challenges such as ensuring algorithm robustness in real-world noisy environments, optimizing computational efficiency for real-time applications, and validating performance across diverse datasets. Balancing innovative approaches with practical hardware constraints can also be demanding. Effective collaboration with cross-functional teams, such as software developers and domain specialists, is essential to successfully integrate new algorithms into larger systems.
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What job categories do people searching Signal Processing Research Engineer jobs look for? The top searched job categories for Signal Processing Research Engineer jobs are:
Signal Processing Research Engineer jobs near you
Infographic showing various Signal Processing Research Engineer job openings in the United States as of June 2026, with employment types broken down into 13% As Needed, 61% Full Time, 13% Part Time, and 13% Contract. Highlights an 87% Physical, 5% Hybrid, and 8% Remote job distribution, with an average salary of $131,349 per year, or $63.1 per hour.
Signal Processing Engineer

Signal Processing Engineer

Norbert Health

Brooklyn, NY

Full-time

Posted 13 days ago

Job description

The company

Norbert is building autonomous robots that deliver healthcare.

Our AI sensing platform mounts on mobile robots and does the work of a care team member-rounding on patients, capturing vitals without contact (FDA-cleared for pulse and respiratory rate, more in the pipeline), running assessments, documenting to the EMR, and escalating when something's wrong. Autonomously.

We're not building demos. We're deployed in real facilities today, monitoring hundreds of patients daily. We're solving one of healthcare's hardest problems: a global nursing shortage that will hit 40% by 2030.

We're a small, international team backed by top-tier VCs, with offices in Brooklyn and Paris. We ship things that matter.

The position

We're looking for a Signal Processing Engineer to join our algorithm and development team, working on remote vital sign monitoring from video. You'll develop and validate algorithms that extract clinical-grade physiological signals (heart rate, blood pressure, respiration) from camera data, working closely with computer vision engineers in our algorithm team.

What You'll Do:

  • Design and implement signal processing algorithms for extracting vital signs from video-based sensors (rPPG, rBP)
  • Develop real-time filtering, denoising, and feature extraction methods to achieve clinical-grade accuracy
  • Build validation pipelines comparing our video-based measurements against clinical reference devices (ECG, PPG, BP monitors)
  • Help design studies that ensure millisecond-level synchronization between video streams and reference sensors for accurate ground truth
  • Integrate with the computer vision pipeline (C++) to leverage multi-modal signal enhancement techniques
  • Architect cloud-based QA and automated verification systems for reproducible algorithm validation
  • Prototype algorithms in Python and C++ before deploying them on our production system

What We're Looking For:

  • Master's degree in Electrical Engineering, Biomedical Engineering, or related field (or PhD)
  • Strong fundamentals in digital signal processing, statistical methods, and real-time systems
  • Deep expertise in physiological signal processing (PPG, ECG, respiration, blood pressure)
  • Experience processing low-frequency physiological signals with challenging SNR characteristics
  • Proficiency in both Python (prototyping) and C++ (production integration)
  • Experience with spectral analysis, adaptive filtering, and time-domain methods for real-time applications
  • Ability to work independently, solve complex problems, and drive projects to completion
  • 5+ years industry experience developing signal processing algorithms for medical or physiological sensing applications (or equivalent with PhD)

Bonus Points:

  • Experience with contact-based and contactless vital sign measurement technologies
  • Background working with medical-grade measurement devices and clinical reference standards
  • Experience with embedded signal processing (ARM, edge devices)
  • Knowledge of motion artifact removal and noise reduction in challenging environments
  • Familiarity with DevOps practices for reproducible research (experiment tracking, data versioning)
  • Background in medical devices, regulated environments, or clinical validation studie

What We Offer:

  • Real impact: your code provides care for patients today
  • High autonomy and technical ownership - you'll define our signal processing approach
  • Work at the intersection of cutting-edge AI, edge computing, and healthcare
  • A talented, excellent, diverse and international team
  • Talented, international team tackling meaningful problems in healthcare
  • Equity participation in the company's future
  • Cutting-edge stack: embedded AI, robotics, LLMs, multimodal sensing
  • Transparent, mission-driven culture focused on continuous learning
  • Competitive salary and equity
Employment Type: FULL_TIME

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