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Internship Digital Signal Processing Jobs in New York

Strong fundamentals in digital signal processing, statistical methods, and real-time systems * Deep expertise in physiological signal processing (PPG, ECG, respiration, blood pressure) * Experience ...

Strong fundamentals in digital signal processing, statistical methods, and real-time systems * Deep expertise in physiological signal processing (PPG, ECG, respiration, blood pressure) * Experience ...

Strong fundamentals in digital signal processing, statistical methods, and real-time systems * Deep expertise in physiological signal processing (PPG, ECG, respiration, blood pressure) * Experience ...

Background in Digital Signal Processing (DSP) or control theory. * Knowledge of containerized deployment using Docker. Skills C++, Quantum Algorithms, High Performance Computing (HPC), Algorithm ...

Skills in system modeling or digital signal processing for wireline communications are advantageous. * Design experience or knowledge of photonic integrated circuit components is preferred. * Work ...

Internship Program

New York, NY

$18.25 - $23.75/hr

Contribute to development of real-time software systems for neural signal processing and data ... Availability for an internship in New York City. Preferred Qualifications: * Prior experience with ...

Internship Program

New York, NY

$18.25 - $23.75/hr

Contribute to development of real-time software systems for neural signal processing and data ... Availability for an internship in New York City. Preferred Qualifications: * Prior experience with ...

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Internship Digital Signal Processing information

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

AspectInternship Digital Signal ProcessingDigital Signal Processing Engineer
Required CredentialsEnrolled in or recent graduate of relevant degree (e.g., Electrical Engineering, Computer Science)Bachelor's or higher in Electrical Engineering, Computer Science, or related field; often requires experience
Work EnvironmentInternship setting, learning-focused, entry-level projectsFull-time professional role, responsible for designing and implementing DSP algorithms
Employer & Industry UsageTypically offered by tech companies, research labs, or universitiesUsed in telecommunications, audio processing, radar, and other industries

In summary, an Internship Digital Signal Processing role is an entry-level, learning-focused position for students or recent graduates, while a Digital Signal Processing Engineer is a full-time professional responsible for developing and deploying DSP solutions in industry.

What are the most commonly searched types of Digital Signal Processing jobs in New York? The most popular types of Digital Signal Processing jobs in New York are:
What job categories do people searching Internship Digital Signal Processing jobs in New York look for? The top searched job categories for Internship Digital Signal Processing jobs in New York are:
What cities in New York are hiring for Internship Digital Signal Processing jobs? Cities in New York with the most Internship Digital Signal Processing job openings:
Infographic showing various Internship Digital Signal Processing job openings in New York as of July 2026, with employment types broken down into 94% Full Time, and 6% Temporary. Highlights an 88% In-person, 6% Hybrid, and 6% Remote job distribution.

Signal Processing Engineer

Norbert Health

New York, NY • On-site

Full-time

Re-posted 28 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