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Signal Processing Algorithm Nvidia Jobs (NOW HIRING)

Norbert Health

Signal Processing Engineer

New York, NY · On-site

You'll develop and validate algorithms that extract clinical-grade physiological signals (heart ... Design and implement signal processing algorithms for extracting vital signs from video-based ...

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Signal Processing Algorithm Nvidia information

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$100.5K

$131.3K

$148K

How much do signal processing algorithm nvidia jobs pay per year?

As of Jun 7, 2026, the average yearly pay for signal processing algorithm nvidia in the United States is $131,250.00, according to ZipRecruiter salary data. Most workers in this role earn between $125,000.00 and $142,000.00 per year, depending on experience, location, and employer.

What is the difference between Signal Processing Algorithm Nvidia vs Signal Processing Engineer?

AspectSignal Processing Algorithm NvidiaSignal Processing Engineer
CredentialsTypically requires knowledge of GPU programming, CUDA, and Nvidia-specific toolsBachelor's or master's in electrical engineering, computer science, or related fields; certifications in signal processing are common
Work EnvironmentPrimarily in R&D teams focused on hardware acceleration, AI, and GPU optimizationIn labs or offices working on system design, algorithm development, and signal analysis
Industry UsageUsed in AI, autonomous vehicles, and high-performance computing applicationsApplied across telecommunications, aerospace, defense, and consumer electronics

While Signal Processing Algorithm Nvidia focuses on developing GPU-accelerated algorithms using Nvidia technologies, Signal Processing Engineers design and implement signal processing systems across various industries. Both roles require strong technical skills, but Nvidia specialists are more hardware and GPU-focused, whereas Signal Processing Engineers have broader application expertise.

How does a Signal Processing Algorithm Engineer at Nvidia typically collaborate with cross-functional teams during product development?

As a Signal Processing Algorithm Engineer at Nvidia, you’ll regularly work alongside hardware engineers, software developers, and product managers to integrate your algorithms into cutting-edge products. Collaboration often involves translating algorithmic concepts into practical implementations, conducting joint reviews, and iterating based on feedback from different teams. Effective communication and a willingness to adapt your solutions to fit hardware constraints or software frameworks are essential. This teamwork not only enhances the final product but also provides valuable opportunities for professional growth and knowledge sharing.

What are the key skills and qualifications needed to thrive as a Signal Processing Algorithm Engineer at Nvidia, and why are they important?

To thrive as a Signal Processing Algorithm Engineer at Nvidia, you need a strong background in mathematics, digital signal processing (DSP), and algorithm development, typically supported by an advanced degree in electrical engineering, computer science, or a related field. Expertise with programming languages such as C++, Python, and MATLAB, as well as familiarity with GPU programming and frameworks like CUDA, is highly valued. Analytical thinking, problem-solving abilities, and effective communication are crucial soft skills for collaborating with multidisciplinary teams and translating complex concepts into practical solutions. These skills and qualities are essential to develop efficient, high-performance algorithms that drive Nvidia's cutting-edge products and technologies.

What does a Signal Processing Algorithm Engineer at Nvidia do?

A Signal Processing Algorithm Engineer at Nvidia is responsible for developing and optimizing algorithms that process digital signals, such as audio, video, or sensor data, for use in Nvidia's hardware and software products. This role involves designing, implementing, and testing algorithms to enhance performance, efficiency, and quality in applications like AI, computer vision, graphics, and autonomous systems. The engineer collaborates closely with hardware and software teams to ensure seamless integration of signal processing techniques, driving innovation in Nvidia's cutting-edge technologies.
Infographic showing various Signal Processing Algorithm Nvidia job openings in the United States as of May 2026, with employment types broken down into 67% Full Time, and 33% Part Time. Highlights an 84% Physical, 8% Hybrid, and 8% Remote job distribution, with an average salary of $131,250 per year, or $63.1 per hour.
Signal Processing Engineer

Signal Processing Engineer

Norbert Health

Brooklyn, NY

Full-time

Posted 12 hours 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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