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Sensor Algorithm Engineer Jobs in New York (NOW HIRING)

Research open, public domain, and commercial sensor data sources to determine the areas, quality ... Coordinate with AI/ML team to provide diverse data for developing new machine learning algorithms ...

Research open, public domain, and commercial sensor data sources to determine the areas, quality ... Coordinate with AI/ML team to provide diverse data for developing new machine learning algorithms ...

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

Senior Product Manager, Hardware

New York, NY · On-site +1

$138K - $182K/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 ...

Senior Product Manager, Hardware

New York, NY · Hybrid

$138K - $182K/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 ...

Senior Product Manager, Hardware

Manhattan, NY · Hybrid

$139K - $184K/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 ...

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Sensor Algorithm Engineer information

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.

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.

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 are popular job titles related to Sensor Algorithm Engineer jobs in New York? For Sensor Algorithm Engineer jobs in New York, the most frequently searched job titles are:
What job categories do people searching Sensor Algorithm Engineer jobs in New York look for? The top searched job categories for Sensor Algorithm Engineer jobs in New York are:
What cities in New York are hiring for Sensor Algorithm Engineer jobs? Cities in New York with the most Sensor Algorithm Engineer job openings:
Senior GIS Developer

Senior GIS Developer

NBCUniversal

Manhattan, NY • On-site

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 16 days ago


Job description

Company Description

NBCUniversal is one of the world's leading media and entertainment companies. We create world-class content, which we distribute across our portfolio of film, television, and streaming, and bring to life through our global theme park destinations, consumer products, and experiences. We own and operate leading entertainment and news brands, including NBC, NBC News, NBC Sports, Telemundo, NBC Local Stations, Bravo, and Peacock, our premium ad-supported streaming service. We produce and distribute premier filmed entertainment and programming through our powerhouse film and television studios, including Universal Pictures, DreamWorks Animation, and Focus Features, and the four global television studios under the Universal Studio Group banner, and operate industry-leading theme parks and experiences around the world through Universal Destinations & Experiences, including Universal Orlando Resort, home to Universal Epic Universe, and Universal Studios Hollywood. NBCUniversal is a subsidiary of Comcast Corporation. Visit www.nbcuniversal.com for more information.

Our impact is rooted in improving the communities where our employees, customers, and audiences live and work. We have a rich tradition of giving back and ensuring our employees have the opportunity to serve their communities. We champion an inclusive culture and strive to attract and develop a talented workforce to create and deliver a wide range of content reflecting our world.

Job Description

In this role, you will contribute to driving geospatial data and tooling needs for a large-scale project. You will be part of a team of GIS engineers responsible for sourcing geospatial data in many modalities, and for building geospatial data automation and tooling in an AI/ML pipeline for new applications. 

In this role, you'll research and gather data for specific regions from different sources, including imagery and other raster data, vector data, and point clouds. You will find and acquire data from free/public domain sources, and participate in partnerships with commercial data providers. You will assist in managing the coverage, freshness, quality, and cost of the sourced data. The most successful team members will have a working knowledge of disparate effective sources of data, and a curiosity for finding new ones. 

To prepare this data for AI/ML use, you'll build and use automated tools (e.g., incorporating open source libraries like GDAL and in-house tools) to clean, resize, reformat, and align it so it's ready for internal customers to use.You will also be responsible for tooling to automatically postprocess the output of a geospatial AI/ML pipeline for use by other teams. 

This role involves working closely with different teams in our organization. You'll partner with the AI/ML teams to supply diverse data they need for building new machine learning models, and with the Pipeline and Product teams to ensure they have the necessary data required. 

Responsibilities include, but not limited to: 

  • Aggregate data for target regions and ensure that a complete collection of data is available. 
  • Research open, public domain, and commercial sensor data sources to determine the areas, quality, and freshness of available data. 
  • Utilize open source (e.g. GDAL) and internally developed software tools to preprocess, align, crop, resample, and otherwise prepare data for use. We prefer open source tools over proprietary software, but understand that some software has no great open source equivalent. 
  • Contribute to our internal tools that process and source geospatial datasets. 
  • Partner with groups across the organization to understand needs for GIS data for AI/ML research. Coordinate with AI/ML team to provide diverse data for developing new machine learning algorithms, and the Pipeline and Product teams to provide data to roll out new regions. 
  • Partner closely with leadership to understand the high-level product vision. 
Qualifications
  • Bachelors or Masters degree in GIS, Computer Science, Engineering, Mathematics, or a related field 
  • 2+ years of relevant industry experience in a fast paced, high growth tech environment. 
  • Experience with GIS modalities and formats, including at least some of orthoimagery (e.g. GeoTIFF), point clouds such as LiDAR (e.g. LAS/LAZ), vector data (e.g. ESRI Shapefiles, GeoJSON, OSM), raster data storing elevation and terrain information such as DTM, DSM, and DEMs, and raster data storing landcover information. 
  • Software engineering experience, including designing and architecting software. Experience in Python for automation of common tasks and/or contributing to our existing tool palette is required. 

Desired Characteristics: 

  • Team-oriented and collaborative approach with a demonstrated aptitude, enthusiasm and willingness to learn new methods, tools, practices and skills. 
  • Passion and curiosity for GIS and software engineering. 
  • Experience working with open-source GIS libraries and tools, including PROJ and GDAL, for spatial data processing, transformation, and analysis.Comfort with working outside of an ArcGIS-centric workflow. 
  • Experience with some flavor of Linux. Comfort with some flavor of a *nix shell environment (e.g. bash) is strongly preferred. 
  • Enthusiasm for automated development processes and systems. 

This position is eligible for company sponsored benefits, including medical, dental and vision insurance, 401(k), paid leave, tuition reimbursement, and a variety of other discounts and perks. Learn more about the benefits offered by NBCUniversal by visiting the Benefits page of the Careers website. Salary range: $100,000-125,000

Additional Information

As part of our selection process, external candidates may be required to attend an in-person interview with an NBCUniversal employee at one of our locations prior to a hiring decision. NBCUniversal's policy is to provide equal employment opportunities to all applicants and employees without regard to race, color, religion, creed, gender, gender identity or expression, age, national origin or ancestry, citizenship, disability, sexual orientation, marital status, pregnancy, veteran status, membership in the uniformed services, genetic information, or any other basis protected by applicable law. 

If you are a qualified individual with a disability or a disabled veteran, you have the right to request a reasonable accommodation if you are unable or limited in your ability to use or access nbcunicareers.com as a result of your disability. You can request reasonable accommodations by emailing [email protected].

For LA County and City Residents Only:  NBCUniversal will consider for employment  qualified applicants with criminal histories, or arrest or conviction records, in a manner  consistent with relevant legal requirements, including the City of Los Angeles' Fair Chance Initiative For Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, where applicable.