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Internship Digital Signal Processing Engineer Jobs

Norbert Health

Signal Processing Engineer

New York, NY · On-site

Strong fundamentals in digital signal processing, statistical methods, and real-time systems * Deep ... Familiarity with DevOps practices for reproducible research (experiment tracking, data versioning)

CoVar

Signal Processing Engineer

Durham, NC

RF System Integration: Collaborate with hardware engineers to integrate digital signal processing (DSP) algorithms into RF systems and ensure optimal end-to-end performance. * Performance ...

Norbert Health

Signal Processing Engineer

Brooklyn, NY · On-site

Strong fundamentals in digital signal processing, statistical methods, and real-time systems * Deep ... Familiarity with DevOps practices for reproducible research (experiment tracking, data versioning)

Norbert Health

Signal Processing Engineer

New York, NY · On-site

Strong fundamentals in digital signal processing, statistical methods, and real-time systems * Deep ... Familiarity with DevOps practices for reproducible research (experiment tracking, data versioning)

CX2

Signal Processing Engineer

El Segundo, CA · On-site

$140K - $190K/yr

Digital Signal processing: Design, characterize, and deliver algorithms such as channelizers ... OR a Bachelor's Degree in an Engineering discipline with 3-5 years relevant working Signal ...

CX2

Signal Processing Engineer

El Segundo, CA

$140K - $190K/yr

Digital Signal processing: Design, characterize, and deliver algorithms such as channelizers ... OR a Bachelor's Degree in an Engineering discipline with 3-5 years relevant working Signal ...

CX2

Signal Processing Engineer

El Segundo, CA

$140K - $190K/yr

Digital Signal processing: Design, characterize, and deliver algorithms such as channelizers ... OR a Bachelor's Degree in an Engineering discipline with 3-5 years relevant working Signal ...

Leidos

Radar Signal Processing Engineer

Huntsville, AL · On-site

$87K - $157K/yr

This position affords new or experienced engineers continued opportunities to learn and grow in ... Research and development of advanced digital signal processing (DSP) algorithms * High-fidelity ...

Leidos

Radar Signal Processing Engineer

Huntsville, AL · On-site

$107K - $195K/yr

This position affords new or experienced engineers continued opportunities to learn and grow in ... Research and development of advanced digital signal processing (DSP) algorithms * High-fidelity ...

Leidos

Radar Signal Processing Engineer

Huntsville, AL · On-site

This position affords new or experienced engineers continued opportunities to learn and grow in ... Research and development of advanced digital signal processing (DSP) algorithms * High-fidelity ...

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Internship Digital Signal Processing Engineer information

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$80.5K

$139.4K

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How much do internship digital signal processing engineer jobs pay per year?

As of Jul 11, 2026, the average yearly pay for internship digital signal processing engineer in the United States is $139,368.00, according to ZipRecruiter salary data. Most workers in this role earn between $136,000.00 and $136,000.00 per year, depending on experience, location, and employer.

What types of projects and responsibilities can I expect as an Internship Digital Signal Processing Engineer?

As an Internship Digital Signal Processing Engineer, you will likely work on tasks such as developing and testing algorithms for signal processing, analyzing real-world data, and assisting with the implementation of DSP solutions in hardware or software. Interns often collaborate closely with senior engineers and cross-functional teams to support ongoing projects, troubleshoot issues, and document their findings. This role provides hands-on experience with tools like MATLAB, Python, or C++, and gives exposure to industry-standard practices, offering a valuable foundation for future career growth in DSP and related fields.

What is the difference between Internship Digital Signal Processing Engineer vs Digital Signal Processing Engineer?

AspectInternship Digital Signal Processing EngineerDigital Signal Processing Engineer
CredentialsTypically pursuing or recently completed a relevant degree; no professional certification requiredBachelor's or master's degree in electrical engineering, computer engineering, or related field; professional certifications optional
Work EnvironmentInternship programs, often in research labs or tech companies, with supervised tasksFull-time employment in R&D, product development, or engineering teams
Employer & Industry UsageUsed by companies for training and talent development; industry-wide in electronics, telecom, audio/video processingFull-time role across similar industries, with responsibilities for designing and implementing DSP algorithms

The main difference is that an Internship Digital Signal Processing Engineer is a temporary, entry-level position aimed at gaining experience, while a Digital Signal Processing Engineer is a full-time professional responsible for developing and implementing DSP solutions in various industries.

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

To thrive as an Internship Digital Signal Processing Engineer, a solid background in electrical engineering, mathematics (especially linear algebra and calculus), and signal processing fundamentals is crucial, often supported by relevant coursework or a related degree. Familiarity with programming languages like MATLAB or Python, and tools such as Simulink or LabVIEW, is frequently required. Strong analytical thinking, problem-solving abilities, and effective teamwork and communication skills help interns contribute meaningfully to projects. These skills and qualities are essential for developing, analyzing, and optimizing digital signal processing algorithms in collaborative engineering environments.

What are internship digital signal processing engineers?

Internship digital signal processing (DSP) engineers are students or recent graduates who work under supervision to assist with the design, analysis, and implementation of systems that process digital signals such as audio, video, or sensor data. They typically support teams by developing algorithms, writing code (often in languages like MATLAB, Python, or C), and testing DSP applications in real-world scenarios. These internships provide hands-on experience in applying theoretical concepts from coursework to practical engineering problems, often in industries like telecommunications, audio technology, or medical devices.
More about Internship Digital Signal Processing Engineer jobs
What cities are hiring for Internship Digital Signal Processing Engineer jobs? Cities with the most Internship Digital Signal Processing Engineer job openings:
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Internship Digital Signal Processing Engineer jobs near you
Infographic showing various Internship Digital Signal Processing Engineer job openings in the United States as of July 2026, with employment types broken down into 100% Full Time. Highlights an 67% In-person, and 33% Remote job distribution, with an average salary of $139,368 per year, or $67 per hour.
Signal Processing Engineer

Signal Processing Engineer

Norbert Health

New York, NY • On-site

Full-time

Re-posted 4 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

Apply