ZipRecruiter

Log In

1

Sensor Algorithm Engineer Jobs in Queens, NY (NOW HIRING)

Norbert Health

Computer Vision/ML Engineer

Brooklyn, NY · On-site

$117.20K - $138.30K/yr

Strong fundamentals: data structures, CV algorithms, and systems programming * Strong C++ skills ... Experience with sensor fusion (RGB, IR, depth cameras) * Background in medical devices, regulated ...

Norbert Health

Computer Vision/ML Engineer

New York, NY · On-site

$122K - $143.90K/yr

Strong fundamentals: data structures, CV algorithms, and systems programming * Strong C++ skills ... Experience with sensor fusion (RGB, IR, depth cameras) * Background in medical devices, regulated ...

Norbert Health

Computer Vision/ML Engineer

New York, NY · On-site

$122K - $143.90K/yr

Strong fundamentals: data structures, CV algorithms, and systems programming * Strong C++ skills ... Experience with sensor fusion (RGB, IR, depth cameras) * Background in medical devices, regulated ...

Hiremore

Senior Android Developer

New York, NY · On-site

$63.50 - $80.50/hr

At HireMore, we leverage our technology, algorithms and good old human brainpower to quickly ... Substantial experience with Bluetooth and sensor data from mobile phone * Proven working experience ...

Hiremore

Senior Android Developer

New York, NY

$63.50 - $80.50/hr

At HireMore, we leverage our technology, algorithms and good old human brainpower to quickly ... Substantial experience with Bluetooth and sensor data from mobile phone * Proven working experience ...

Hiremore

Senior Android Developer

Queens, NY

$60.50 - $76.75/hr

At HireMore, we leverage our technology, algorithms and good old human brainpower to quickly ... Substantial experience with Bluetooth and sensor data from mobile phone * Proven working experience ...

Hiremore

Senior Android Developer

Queens, NY · On-site

$60.50 - $76.75/hr

At HireMore, we leverage our technology, algorithms and good old human brainpower to quickly ... Substantial experience with Bluetooth and sensor data from mobile phone * Proven working experience ...

New York University

RESEARCH SCHOLAR

New York, NY · On-site

$27/hr

Collect and process data from human experiments and sensor measurements * Conduct human-subject ... algorithms for biomedical engineering applications, and prepared for conducting human subject ...

Agility Robotics

Director of AI

Manhattan, NY

Lead the selection and integration of advanced machine learning models, algorithms, and deep ... Partner with Hardware and Robot Software leadership to ensure the sensor suite and embedded compute ...

Nanit

Senior Product Manager, Hardware

New York, NY · Hybrid

$138.40K - $182.70K/yr

... Engineering Team (electrical, mechanical, firmware), software, and algorithms to ensure alignment ... Experience with wearable, sensor-driven, or connected consumer devices is a plus * Passion for ...

Nanit

Senior Product Manager, Hardware

New York, NY · On-site +1

$138.40K - $182.70K/yr

... Engineering Team (electrical, mechanical, firmware), software, and algorithms to ensure alignment ... Experience with wearable, sensor-driven, or connected consumer devices is a plus * Passion for ...

RELX Group plc

Data Scientist

Manhattan, NY · On-site +1

... algorithm, feature engineering over cellphone sensor data, centralized code repository, network analysis over UK banking industry). Experience with Git and Jira to help guide and scope these research ...

next page

Showing results 1-20

People also search for

All JobsSensor Algorithm Engineer JobsSensor Algorithm Engineer Jobs in Queens, NY

Sensor Algorithm Engineer information

See Queens, NY salary details

$62.1K

$116.5K

$211.8K

How much do sensor algorithm engineer jobs pay per year?

As of May 30, 2026, the average yearly pay for sensor algorithm engineer in Queens, NY is $116,484.00, according to ZipRecruiter salary data. Most workers in this role earn between $84,000.00 and $138,300.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Sensor Algorithm Engineer, and why are they important?

To thrive as a Sensor Algorithm Engineer, you need a strong background in signal processing, sensor physics, and applied mathematics, often supported by a degree in electrical engineering, computer science, or a related field. Familiarity with programming languages such as Python or C++, tools like MATLAB, and experience with sensor data fusion systems are typically required. Strong analytical thinking, problem-solving, and effective communication skills help you collaborate across multidisciplinary teams and interpret complex data. These skills are essential to develop robust algorithms that ensure accurate sensor performance and drive innovation in fields like automotive, robotics, and consumer electronics.

How does a Sensor Algorithm Engineer typically collaborate with hardware and software teams during product development?

Sensor Algorithm Engineers often serve as a bridge between hardware engineers and software developers. They work closely with hardware teams to understand sensor specifications and limitations while collaborating with software teams to integrate algorithms into embedded systems or applications. Regular cross-disciplinary meetings and iterative testing are common, ensuring that sensor data is accurately interpreted and that the algorithms perform reliably under real-world conditions. This collaborative environment helps drive innovation and ensures that final products meet both technical and user requirements.

What does a Sensor Algorithm Engineer do?

A Sensor Algorithm Engineer designs, develops, and tests algorithms that process data from various sensors, such as cameras, accelerometers, gyroscopes, or environmental sensors. Their work involves creating mathematical models and software to interpret sensor data for applications like robotics, autonomous vehicles, mobile devices, or IoT systems. They collaborate with hardware engineers and software developers to ensure accurate and reliable sensor performance. The role often requires expertise in signal processing, machine learning, and embedded systems.

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

AspectSensor Algorithm EngineerSignal Processing Engineer
Required CredentialsBachelor's or Master's in Electrical Engineering, Computer Science, or related fields; knowledge of sensor systemsBachelor's or Master's in Electrical Engineering, Computer Science, or related fields; expertise in signal processing techniques
Work EnvironmentDevelops algorithms for sensors in automotive, consumer electronics, or industrial applicationsDesigns and implements signal processing algorithms across various industries including communications and audio
Employer & Industry UsageUsed by companies developing sensor-based systems like IoT devices, autonomous vehicles, and roboticsCommon in telecommunications, audio engineering, and image processing sectors

While both roles involve algorithm development and require similar educational backgrounds, Sensor Algorithm Engineers focus on creating algorithms specifically for sensor data interpretation, whereas Signal Processing Engineers work on processing signals from various sources, including sensors, for broader applications.

What are popular job titles related to Sensor Algorithm Engineer jobs in Queens, NY? For Sensor Algorithm Engineer jobs in Queens, NY, the most frequently searched job titles are:
What job categories do people searching Sensor Algorithm Engineer jobs in Queens, NY look for? The top searched job categories for Sensor Algorithm Engineer jobs in Queens, NY are:
What cities near Queens, NY are hiring for Sensor Algorithm Engineer jobs? Cities near Queens, NY with the most Sensor Algorithm Engineer job openings:
Sensor Algorithm Engineer jobs near you
Computer Vision/ML Engineer

Computer Vision/ML Engineer

Norbert Health

Brooklyn, NY • On-site

$117.20K - $138.30K/yr

Full-time

Posted 22 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 are looking for our lead deep learning engineer to spearhead the development of our groundbreaking sensing technology.

What you will do:
  • Design, fine-tune, and deploy computer vision models (YOLO, InsightFace, MediaPipe, facial landmark detection, object tracking, pose estimation) for real-time inference on the edge
  • Optimize models for embedded deployment using quantization, pruning, TensorRT, and NVIDIA Triton
  • Build and maintain MLOps pipelines for model training, validation, and performance monitoring
  • Develop video processing pipelines that integrate with both classical signal processing and ML based vital sign extraction
  • Establish engineering best practices and help reduce technical debt as we scale
  • Contribute to the architecture and implementation of the computer vision stack from research to production
What we look for:
  • Master's or PhD degree in Machine learning / Computer vision
  • Strong fundamentals: data structures, CV algorithms, and systems programming
  • Strong C++ skills - this is critical for our edge deployment pipeline
  • Solid Python proficiency for ML experimentation and tooling
  • Ability to work independently, solve complex problems, and drive projects to completion
  • 5+ years experience deploying computer vision models to production, ideally on resource-constrained devices
  • Experience with PyTorch and model optimization for edge AI
  • Proven ability to take models from research to production on embedded hardware

Nice to haves:

  • Experience with NVIDIA Jetson platform, TensorRT, or Triton Inference Server
  • MLOps experience (experiment tracking, model versioning, performance monitoring)
  • Experience with sensor fusion (RGB, IR, depth cameras)
  • Background in medical devices, regulated environments, or healthcare applications
  • Experience working in fast-moving early-stage environments
What we offer:
  • Real impact: your code provides care for patients today
  • High autonomy and technical ownership - you'll shape our computer vision architecture
  • Work at the intersection of cutting-edge AI, edge computing, and healthcare
  • A talented, excellent, diverse and international team
  • Cutting-edge stack: embedded AI, robotics, LLMs, multimodal sensing
  • Talented, international team tackling meaningful problems in remote patient monitoring
  • Competitive salary and equity
  • Transparent, mission-driven culture focused on continuous learning
Employment Type: FULL_TIME

Apply