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Digital Signal Processing Intern Jobs in New York

Norbert Health

Signal Processing Engineer

New York, NY · On-site

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

Norbert Health

Signal Processing Engineer

Brooklyn, NY · On-site

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

Norbert Health

Signal Processing Engineer

New York, NY · On-site

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

QCi

Senior Engineer, Quantum Algorithms

Hoboken, NJ · On-site

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

Airspan

FPGA DESIGN ENGINEER

Warren, NJ · On-site

$127K - $176K/yr

Design and implement FPGA-based digital signal processing (DSP) and communication systems. * Develop RTL designs in Verilog/System Verilog , ensuring efficient and high-performance implementations.

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Digital Signal Processing Intern information

What are the key skills and qualifications needed to thrive as a digital signal processing intern, and why are they important?

To thrive as a Digital Signal Processing (DSP) Intern, you need a solid background in mathematics, signal processing theory, and programming, typically supported by coursework in electrical engineering or computer science. Familiarity with tools such as MATLAB, Python, and DSP simulation software is commonly required. Strong analytical thinking, attention to detail, and effective communication are essential soft skills for problem-solving and teamwork. These skills ensure you can contribute to developing and optimizing signal processing algorithms in real-world engineering projects.

What does a digital signal processing intern do?

A Digital Signal Processing (DSP) Intern assists in the development, analysis, and implementation of algorithms for processing digital signals such as audio, images, or sensor data. They typically work under the guidance of experienced engineers, using tools like MATLAB, Python, or C/C++ to build and test signal processing systems. Responsibilities may include data collection, simulation, debugging code, and documenting results. The internship provides hands-on experience in applying theoretical concepts from coursework to real-world engineering problems.

What types of projects and tasks can a digital signal processing intern expect to work on during their internship?

As a Digital Signal Processing (DSP) Intern, you can expect to be involved in projects such as designing, implementing, and testing algorithms for audio, image, or communications processing. Typical tasks include coding in languages like MATLAB or Python, analyzing real-world signals, and assisting with performance optimization. You may also collaborate with senior engineers on research, data collection, and documentation. This hands-on experience provides valuable exposure to both theoretical and practical aspects of DSP in a collaborative team environment.
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Digital Signal Processing Intern jobs near you
Infographic showing various Digital Signal Processing Intern job openings in New York as of August 2026, with employment types broken down into 80% Full Time, 15% Part Time, 1% Temporary, 3% Contract, and 1% Nights. Highlights an 92% Physical, 3% Hybrid, and 5% Remote job distribution.

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

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