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Signal Processing Engineer Jobs in New York (NOW HIRING)

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

$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 ...

Workila

Embedded Software Engineer

Clifton, NJ · On-site +1

$100 - $120K/hr

... engineering, scientific and manufacturing requirements ... You will develop real time embedded systems involving software for digital signal processing ...

VOLT

RF Systems Engineer

Clifton, NJ · On-site

Experience with concepts in signal processing, logic design, computer architecture. * Experience ... Familiarity with Digital Engineering, sysML/Model Based System Engineering (MBSE), and System ...

CYNET SYSTEMS

Systems Engineering L3

Clifton, NJ · On-site

$63 - $68/hr

Experience with concepts in signal processing, logic design, computer architecture. * Experience ... Familiarity with Digital Engineering, sysML/Model Based System Engineering (MBSE), and System ...

Zencastr

Senior Machine Learning Engineer (Remote)

New York, NY · On-site +1

$114K - $157K/yr

You'll join a team of hardworking engineers that are passionate about understanding what drives ... Work with some of the brightest minds in signal processing If This Describes You.. * A postgraduate ...

Teledyne

Hardware Design Engineer

Chestnut Ridge, NY

$72K - $97K/yr

This position is ideal for engineers who want to accelerate their technical development while ... Foundational understanding of digital signal processing theory. Salary Range: $72,800.00-$97,100 ...

Distributed Spectrum Inc

Embedded Engineer

New York, NY · On-site

$150K - $220K/yr

Bachelor's or Master's in Computer Engineering, Electrical Engineering, or related technical field ... Familiarity with the fundamentals of signal processing, machine learning, computer vision, or ...

Nokia

Fiber Sensing PostDoc

Murray Hill, NJ · On-site

Experience with FPGA design and real-time GPU implementations supporting optical digital signal processing algorithms is highly desired. * Programming Mastery: Exceptional programming skills, with a ...

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All JobsSignal Processing Engineer JobsSignal Processing Engineer Jobs in New York

Signal Processing Engineer information

See New York salary details

$58.5K

$143.7K

$211.7K

How much do signal processing engineer jobs pay per year?

As of Aug 7, 2026, the average yearly pay for signal processing engineer in New York is $143,700.00, according to ZipRecruiter salary data. Most workers in this role earn between $118,700.00 and $161,400.00 per year, depending on experience, location, and employer.

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

To thrive as a Signal Processing Engineer, you need a strong background in mathematics, digital signal processing theory, and programming, typically supported by a degree in electrical engineering or a related field. Familiarity with tools such as MATLAB, Python, DSP hardware platforms, and relevant certifications like Certified LabVIEW Developer are highly beneficial. Analytical thinking, problem-solving abilities, and effective communication are crucial soft skills in this role. These skills and qualities ensure accurate analysis, efficient design, and successful implementation of signal processing solutions in diverse technical environments.

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

AspectSignal Processing EngineerCommunications Engineer
Required CredentialsBachelor's or Master's in Electrical Engineering, Signal Processing, or related fieldsBachelor's or Master's in Electrical Engineering, Communications, or related fields
Work EnvironmentResearch labs, tech companies, R&D departmentsTelecom companies, network providers, infrastructure firms
Industry UsageDesigning algorithms for audio, video, radar, and sensor dataDeveloping and maintaining communication systems and networks
Search & Comparison IntentFocuses on signal analysis, filtering, and data processingFocuses on network design, protocols, and transmission systems

While both roles involve electrical engineering principles, Signal Processing Engineers primarily develop algorithms for analyzing and filtering signals, whereas Communications Engineers focus on designing and maintaining communication systems and networks. The roles often overlap in telecommunications, but their core responsibilities differ based on the specific application and industry focus.

What does a signal processing engineer do?

A Signal Processing Engineer designs, develops, and implements algorithms and systems to analyze, modify, and interpret signals such as audio, video, radar, or sensor data. They work with both analog and digital signals to extract meaningful information, improve signal quality, and enable communication between devices. Their work is essential in industries like telecommunications, healthcare (medical imaging), audio engineering, and defense. Signal Processing Engineers often use programming languages like MATLAB or Python, and work closely with hardware and software teams to optimize system performance.

What does a signal processing engineer do?

A signal processing engineer is an information technologies expert that analyzes and alters digital signals to make them more accurate and reliable. As a signal processing engineer, your responsibilities are to develop, manage and update digital signals, creating algorithms to process them more efficiently. Qualifications for a signal processing engineer include a bachelor’s degree in electrical or computer engineering, math, or physics, and skills in various programming languages, like C++. You can find signal processing engineer jobs in a wide variety of industries from security to logistics.

What are some typical challenges signal processing engineers face when working on real-time systems?

Signal Processing Engineers working on real-time systems often encounter challenges related to processing speed, latency, and resource constraints. They must design algorithms that efficiently handle large volumes of data without sacrificing accuracy, all while operating within the hardware's computational limits. Collaborating closely with hardware engineers and software developers is common to ensure seamless integration and optimal system performance. Staying updated with the latest advancements in digital signal processing (DSP) tools and techniques also helps address these challenges effectively.
More about Signal Processing Engineer jobs
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What are popular job titles related to Signal Processing Engineer jobs in NY? For Signal Processing Engineer jobs in NY, the most frequently searched job titles are:
Signal Processing Engineer jobs near you
Infographic showing various Signal Processing Engineer job openings in New York as of August 2026, with employment types broken down into 88% Full Time, and 12% Contract. Highlights an 76% In-person, 4% Hybrid, and 20% Remote job distribution, with an average salary of $143,700 per year, or $69.1 per hour.

Internship Program

Synaptrix Labs

New York, NY

$18.25 - $23.75/hr

Full-time, Internship

Re-posted 29 days ago

Job description

About Synaptrix Labs Inc.

Synaptrix is on a mission to revolutionize brain-computer interfaces through non-invasive approaches. We believe that the power to diagnose and treat neurological conditions safely, and to expand human potential, will become a reality with the right fusion of deep learning, signal processing, and computational neuroscience.

We're seeking passionate, creative, and technically driven interns to join our team across multiple disciplines: Software Engineering, Hardware Engineering, Machine Learning Research, Industrial Design, and UI/UX Design. If you're excited about building the future of brain-computer interfaces and want to work at the intersection of neuroscience, AI, and human experience, we want to hear from you.

Responsibilities:

Depending on your background and interests, you may:

  • Contribute to development of real-time software systems for neural signal processing and data visualization.
  • Build and prototype non-invasive EEG-based BCI hardware, from electrode arrays to embedded microcontroller systems.
  • Design, train, and evaluate machine learning models for EEG/EMG decoding, denoising, and signal enhancement.
  • Develop intuitive interfaces and user experiences for individuals with mobility or communication impairments.
  • Collaborate with the design team to prototype wearable and ergonomic form factors for next-generation neurotech devices.
  • Support data collection and analysis in research sessions, assisting with experimental setup and instrumentation.
  • Participate in cross-functional design reviews and brainstorming sessions that bring together neuroscience, AI, and engineering.
  • Contribute to internal documentation, test plans, and experimental logs for ongoing R&D projects.

Minimum Qualifications:

  • Currently pursuing a Bachelor's or Master's degree in Computer Science, Electrical Engineering, Biomedical Engineering, Neuroscience, Mechanical/Industrial Design, or a related field.
  • Demonstrated experience with one or more of the following:
    • Software: Python, C++, or JavaScript
    • Machine Learning: PyTorch, TensorFlow, or JAX
    • Hardware: Arduino, PCB design, or embedded systems
    • Design: Figma, Fusion 360, SolidWorks, or similar tools
  • Strong problem-solving ability and curiosity about neuroscience, AI, or human-machine interfaces.
  • Excellent communication and teamwork skills; thrives in a fast-paced, interdisciplinary environment.
  • Availability for an internship in New York City.

Preferred Qualifications:

  • Prior experience with EEG/EMG systems, biosignal acquisition, or data analysis.
  • Familiarity with deep learning for time-series or multimodal data.
  • Experience designing assistive devices, wearables, or medical technology.
  • Portfolio, GitHub, or research projects demonstrating creative technical work.
  • Interest in startups, prototyping, and early-stage innovation.

About our Culture:

At Synaptrix Labs, we celebrate curiosity, open collaboration, and scientific rigor. Our interdisciplinary team spans neuroscience, AI, and clinical research, and we are united by the belief that non-invasive BCI is the key to unlocking a new era in healthcare, accessibility, and human augmentation.
As an intern, you'll work directly alongside engineers, researchers, and designers who are defining the next generation of brain-computer interfaces. You'll be encouraged to explore bold ideas, experiment freely, and take ownership of meaningful projects from day one.

What We Offer:

  • Hands-on experience in one of the world's most exciting emerging fields: brain-computer interfaces
  • Opportunity to contribute to technology that directly improves lives
  • Mentorship from scientists, engineers, and founders building real neurotechnology products
  • Dynamic NYC workspace blending lab, workshop, and creative studio environments
  • Potential for full-time conversion after graduation