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Internship Signal Processing Engineer Jobs in New York

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 team, working on remote vital sign monitoring from video. You'll develop and validate algorithms that ...

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 team, working on remote vital sign monitoring from video. You'll develop and validate algorithms that ...

Synaptrix Labs

Internship Program

New York, NY

$18.25 - $23.75/hr

... signal processing, and computational neuroscience. We're seeking passionate, creative, and technically driven interns to join our team across multiple disciplines: Software Engineering, Hardware ...

Synaptrix Labs

Internship Program

New York, NY · On-site

$18.25 - $23.75/hr

... signal processing, and computational neuroscience. We're seeking passionate, creative, and technically driven interns to join our team across multiple disciplines: Software Engineering, Hardware ...

Synaptrix Labs

Internship Program

New York, NY

$18.25 - $23.75/hr

... signal processing, and computational neuroscience. We're seeking passionate, creative, and technically driven interns to join our team across multiple disciplines: Software Engineering, Hardware ...

QCi

Senior Engineer, Quantum Algorithms

Hoboken, NJ · On-site

Engineering About Us Quantum Computing Inc. (QCi) (Nasdaq: QUBT) is an innovative, integrated ... Write efficient, thread-safe code for concurrent hardware control and real-time signal processing.

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Internship Signal Processing Engineer information

What does an internship signal processing engineer do?

An Internship Signal Processing Engineer assists in designing, analyzing, and implementing algorithms that process signals such as audio, images, or sensor data. They typically work under the supervision of experienced engineers, supporting projects involving data collection, filtering, feature extraction, and performance evaluation. Interns may use tools like MATLAB, Python, or C++ to develop and test digital signal processing (DSP) solutions. The role provides hands-on experience in applying theoretical knowledge to real-world engineering problems and often includes collaboration with multidisciplinary teams.

What are the key skills and qualifications needed to thrive as an internship signal processing engineer, and why are they important?

To thrive as an Internship Signal Processing Engineer, you need a strong background in mathematics, digital signal processing theory, and programming skills, often supported by progress toward a relevant engineering degree. Familiarity with MATLAB, Python, and signal processing libraries, as well as basic experience with simulation or hardware tools, is typically expected. Analytical thinking, attention to detail, and effective teamwork are crucial soft skills for this role. These skills enable interns to contribute to technical projects, solve complex problems, and collaborate efficiently in engineering environments.

What types of projects do internship signal processing engineers typically work on, and how do they collaborate with senior team members?

Internship Signal Processing Engineers often work on real-world projects such as developing algorithms for audio, image, or communication signal processing, and analyzing large datasets to improve existing systems. Interns usually collaborate closely with senior engineers and researchers, who provide mentorship and guidance throughout the design, implementation, and testing phases. Regular team meetings and code reviews are common, creating an environment where interns can learn industry best practices and receive constructive feedback. This structure helps interns build both technical and teamwork skills, laying a strong foundation for future career advancement.

What are the most commonly searched types of Signal Processing Engineer jobs in New York?

The most popular types of Signal Processing Engineer jobs in New York are:

What cities in New York are hiring for Internship Signal Processing Engineer jobs?

Cities in New York with the most Internship Signal Processing Engineer job openings:

Internship Signal Processing Engineer jobs near you
Infographic showing various Internship Signal Processing Engineer job openings in New York as of July 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution.

Signal Processing Engineer

Norbert Health

New York, NY • On-site

Full-time

Re-posted 8 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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