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Statistical Signal Processing Jobs in New York (NOW HIRING)

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 ...

New York University

RESEARCH SCHOLAR

New York, NY

$48K/yr

The successful candidate will be driven, creative and team-oriented with excellent writing and programming skills in MATLAB, Python, or R and training in statistical signal processing, machine ...

New York University

RESEARCH SCHOLAR

New York, NY

Expectations Candidates will be responsible for * developing statistical signal processing, machine learning, and various mathematical algorithms for biomedical engineering applications * conducting ...

New York University

RESEARCH SCHOLAR

New York, NY

$27/hr

The successful candidate will be driven, creative and team-oriented with excellent writing and programming skills in MATLAB, Python, or R and training in statistical signal processing, machine ...

Vatic Labs

AI Researcher

New York, NY · On-site

$175K - $250K/yr

Experience analyzing large data sets with rigorous statistical and ML/AI approaches, including classification, clustering, regression (linear and nonlinear), optimization, signal processing ...

Vatic Labs

AI Researcher - Vatic Labs

Manhattan, NY · On-site

$175K - $250K/yr

Experience analyzing large data sets with rigorous statistical and ML/AI approaches, including classification, clustering, regression (linear and nonlinear), optimization, signal processing ...

Vatic Labs

AI Researcher

New York, NY

$175K - $250K/yr

Experience analyzing large data sets with rigorous statistical and ML/AI approaches, including classification, clustering, regression (linear and nonlinear), optimization, signal processing ...

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Statistical Signal Processing information

See New York salary details

$92.4K

$161.1K

$272.4K

How much do statistical signal processing jobs pay per year?

As of Jun 23, 2026, the average yearly pay for statistical signal processing in New York is $161,142.00, according to ZipRecruiter salary data. Most workers in this role earn between $136,800.00 and $175,000.00 per year, depending on experience, location, and employer.

Is signal processing a good career?

Signal processing is a strong career choice for those with skills in mathematics, algorithms, and programming, often involving tools like MATLAB or Python. It is used in fields such as telecommunications, audio and image processing, and radar systems, offering opportunities in research, development, and engineering roles with steady demand and competitive salaries.

Do DSP engineers make good money?

DSP (Digital Signal Processing) engineers typically earn competitive salaries due to their specialized skills in designing and implementing signal processing algorithms using tools like MATLAB and C++. Salaries vary based on experience, location, and industry, but the role generally offers strong compensation compared to many other engineering fields.

Is ML a high paying job?

Machine learning roles, including those in statistical signal processing, tend to offer high salaries due to the specialized skills required, such as programming, data analysis, and knowledge of algorithms. Salaries vary based on experience, location, and industry, but these positions are generally well-compensated compared to many other technical roles.

What are some common challenges faced by professionals working in Statistical Signal Processing roles?

One common challenge is managing noisy or incomplete data, which requires advanced statistical techniques to extract meaningful information from real-world signals. Professionals in this field often need to stay updated with rapidly evolving algorithms and technologies, which can demand ongoing learning and adaptation. Additionally, collaborating across interdisciplinary teams—including software developers, engineers, and scientists—requires clear communication of complex concepts. By developing strong analytical and teamwork skills, you can effectively address these challenges and contribute valuable insights to your organization.

What are the key skills and qualifications needed to thrive in the Statistical Signal Processing position, and why are they important?

To thrive in Statistical Signal Processing, you need strong quantitative and analytical abilities, a background in mathematics or electrical engineering, and experience with probability, statistics, and signal processing concepts. Proficiency with programming languages such as MATLAB or Python, as well as familiarity with simulation tools and relevant certifications like Certified Signal Processing Professional (CSPP), is highly valuable. Problem-solving abilities, effective communication, and teamwork skills help you excel in cross-functional project environments. These competencies are crucial for accurately analyzing data, developing robust models, and delivering effective solutions to complex signal processing challenges.

What engineers make $500,000?

Senior engineers in specialized fields such as software, aerospace, or petroleum engineering can earn $500,000 or more annually, especially with extensive experience, advanced skills, and leadership roles. High compensation often involves bonuses, stock options, or profit sharing, particularly in large corporations or high-demand industries.

What is a Statistical Signal Processing job?

A Statistical Signal Processing job involves analyzing signals using probabilistic and statistical methods to extract useful information, reduce noise, and make predictions. Professionals in this field work with algorithms for applications in communications, radar, audio processing, finance, and biomedical engineering. They use tools like Bayesian estimation, Kalman filtering, and spectral analysis to enhance signal interpretation and decision-making. The role often requires expertise in mathematics, programming, and data analysis to develop efficient signal processing techniques.

What are popular job titles related to Statistical Signal Processing jobs in New York? For Statistical Signal Processing jobs in New York, the most frequently searched job titles are:
What job categories do people searching Statistical Signal Processing jobs in New York look for? The top searched job categories for Statistical Signal Processing jobs in New York are:
Statistical Signal Processing jobs near you
Infographic showing various Statistical Signal Processing job openings in New York as of June 2026, with employment types broken down into 66% Full Time, 17% Part Time, and 17% Contract. Highlights an 75% In-person, 8% Hybrid, and 17% Remote job distribution, with an average salary of $161,142 per year, or $77.5 per hour.
Signal Processing Engineer

Signal Processing Engineer

Norbert Health

Brooklyn, NY

Full-time

Posted 16 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
Employment Type: FULL_TIME

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