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Algorithm Engineer Jobs in Manhattan, NY (NOW HIRING)

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 ...

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 ...

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 ...

FPGA DESIGN ENGINEER

Warren, NJ · On-site

$127K - $176K/yr

Airspan Careers FPGA DESIGN ENGINEER Location: Warren, New Jersey or Plano, TX, Remote possible if ... Work with C/C++ and Python for algorithm modeling and hardware/software co-design. * Implement high ...

We are looking for a Machine Learning Engineer to help us create artificial intelligence products ... Research and implement appropriate ML algorithms and tools * Develop machine learning applications ...

Control Algorithm Development * Creating or refining algorithms that control motor speed, torque ... Work cross-functionally with engineering, manufacturing, quality, sales, and product management ...

Control Algorithm Development * Creating or refining algorithms that control motor speed, torque ... Work cross-functionally with engineering, manufacturing, quality, sales, and product management ...

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Algorithm Engineer information

See Manhattan, NY salary details

$65.7K

$123.2K

$224K

How much do algorithm engineer jobs pay per year?

As of Jun 22, 2026, the average yearly pay for algorithm engineer in Manhattan, NY is $123,200.00, according to ZipRecruiter salary data. Most workers in this role earn between $88,800.00 and $146,200.00 per year, depending on experience, location, and employer.

What are the typical challenges an Algorithm Engineer faces in their day-to-day work?

Algorithm Engineers often encounter complex problems that require creative, efficient solutions within strict performance or resource constraints. They may need to optimize existing algorithms, develop new ones from scratch, and ensure seamless integration into larger software systems, often while balancing accuracy, speed, and scalability. Collaborating with other engineers, data scientists, and product teams to align technical efforts with business goals is also a regular part of the job. Staying updated with the latest advancements in algorithms and technology is essential, making continuous learning a key aspect of the role.

What does an Algorithm Engineer do?

An Algorithm Engineer designs, develops, and optimizes algorithms to solve complex computational problems. They analyze data, improve system performance, and implement mathematical models for various applications, such as machine learning, computer vision, and optimization. This role requires proficiency in programming languages like Python or C++, strong mathematical skills, and an understanding of data structures and algorithms. Algorithm Engineers work closely with software developers, data scientists, and researchers to integrate efficient solutions into real-world systems.

What are the key skills and qualifications needed to thrive in the Algorithm Engineer position, and why are they important?

To thrive as an Algorithm Engineer, you need a strong background in mathematics, computer science, and programming, usually demonstrated with a degree in these fields and experience in algorithm design and analysis. Familiarity with languages like Python, C++, or Java, and tools such as MATLAB or TensorFlow, as well as relevant certifications like those in data science or machine learning, are typically advantageous. Outstanding problem-solving abilities, analytical thinking, and effective communication are critical soft skills for success in this role. These competencies are crucial because they enable Algorithm Engineers to design efficient, innovative solutions and collaborate seamlessly with multidisciplinary teams.

What are popular job titles related to Algorithm Engineer jobs in Manhattan, NY? For Algorithm Engineer jobs in Manhattan, NY, the most frequently searched job titles are:
What job categories do people searching Algorithm Engineer jobs in Manhattan, NY look for? The top searched job categories for Algorithm Engineer jobs in Manhattan, NY are:
What cities near Manhattan, NY are hiring for Algorithm Engineer jobs? Cities near Manhattan, NY with the most Algorithm Engineer job openings:
Infographic showing various Algorithm Engineer job openings in Manhattan, NY as of June 2026, with employment types broken down into 5% Internship, 65% Full Time, 5% Part Time, 5% Temporary, and 20% Contract. Highlights an 90% In-person, 5% Hybrid, and 5% Remote job distribution, with an average salary of $123,200 per year, or $59.2 per hour.
Signal Processing Engineer

Signal Processing Engineer

Norbert Health

New York, NY • On-site

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