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Remote Optical Manager Jobs in New York (NOW HIRING)

FPGA Design Engineer

Hoboken, NJ · On-site +1

$119K - $147K/yr

You will work directly with a diverse team of experts including quantum scientists, optical ... quantum remote sensing, quantum bio-imaging, and quantum cybersecurity. This is a unique ...

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Remote Optical Manager information

What is the difference between Remote Optical Manager vs Optical Sales Representative?

AspectRemote Optical ManagerOptical Sales Representative
CredentialsOptical-related certifications, management experienceSales experience, optical product knowledge
Work EnvironmentRemote management, administrative tasksIn-store or client-facing sales
Industry UsageOptical clinics, eyewear companiesOptical retail stores, eyewear brands

The Remote Optical Manager typically oversees optical operations remotely, focusing on staff management and administrative duties, requiring management skills and optical certifications. In contrast, an Optical Sales Representative primarily engages with customers directly, promoting eyewear products and sales. Both roles are common in the optical industry but differ in responsibilities, work environment, and required credentials.

What are popular job titles related to Remote Optical Manager jobs in New York?

For Remote Optical Manager jobs in New York, the most frequently searched job titles are:

What cities in New York are hiring for Remote Optical Manager jobs?

Cities in New York with the most Remote Optical Manager job openings:

Infographic showing various Remote Optical Manager job openings in New York as of August 2026, with employment types broken down into 86% Full Time, 13% Part Time, and 1% Contract. Highlights an 82% Physical, 2% Hybrid, and 16% Remote job distribution.

$65K - $72K/yr

Full-time

Re-posted 29 days ago


Key responsibilities

  • Conduct research applying remote sensing, drone image analysis, and machine learning to assess water quality parameters and physical properties of lakes and reservoirs.

  • Develop, refine, and test computational workflows for processing and integrating multi-sensor datasets from satellite and UAV platforms.

  • Implement and document quality-assurance procedures and validation protocols for environmental datasets.


Research Foundation of the City University of New York rating

7.8

Company rating: 7.8 out of 10

Based on 11 frontline employees who took The Breakroom Quiz

145th of 785 rated non-profit organizations


Job description

Thank you for considering a career with the Research Foundation of The City University of New York (RFCUNY).

The team at RFCUNY is made up of dedicated, talented professionals committed to providing the services that allow CUNY researchers, faculty, and staff to focus on their intellectual curiosity and scientific discoveries.

We are pleased that you are interested in exploring opportunities to join RFCUNY.

Primary Location:

NYC COLLEGE OF TECHNOLOGY

Bargaining Unit:

No

The Center for Remote Sensing and Earth System Sciences (ReSESS)- City Tech, in collaboration with the Research Foundation of the City University of New York (RFCUNY), seeks a highly motivated Postdoctoral Research Associate to join an interdisciplinary research team focused on aquatic remote sensing and machine learning. The successful candidate will develop and apply advanced computational and remote-sensing approaches to study water-quality parameters and physical properties of inland aquatic systems using both satellite and drone-based imagery.

This position supports a collaborative research effort involving City Tech and external partner institutions. The project integrates multi-sensor data from satellites (e.g., Landsat, Sentinel-2) and unmanned aerial vehicles (UAVs) to improve understanding of how surface-water characteristics vary in response to climatic, geomorphological, and ecological factors. Research activities include the development and validation of methods for extracting and analyzing surface temperature, optical water-quality indicators, and other physical parameters, as well as the application of machine-learning tools for spatiotemporal analysis.

The Postdoctoral Research Associate will also contribute to data integration, quality assurance procedures (QAPP/DUAR standards), and scholarly dissemination through peer-reviewed publications, technical reports, and conference presentations.

  • Conduct research applying remote sensing, drone image analysis, and machine learning to assess water quality parameters and physical properties of lakes and reservoirs.

  • Develop, refine, and test computational workflows for processing and integrating multi-sensor datasets from satellite and UAV platforms.

  • Implement and document quality-assurance procedures and validation protocols for environmental datasets.

  • Prepare and submit manuscripts, progress reports, and conference presentations.

  • Collaborate with faculty, students, and partner institutions on data synthesis and dissemination.

  • Mentor undergraduate or graduate student researchers and contribute to proposal development for future research initiatives.

Additional Information

  • Start Date: March, 1, 2026

  • Appointment Duration: One year, renewable contingent upon performance and funding availability.

  • Worksite: New York City College of Technology, Brooklyn, NY

  • Expected Travel: Occasional travel (12 times per year) to research meetings or scientific conferences.

Other Duties

  • Engage with the CUNY research community to support interdisciplinary collaboration.

  • Assist with data curation, management, and documentation for consortium use.

  • Perform other related duties as assigned.

Minimum Qualifications:

  • Ph.D. in Environmental Science, Remote Sensing, or a closely related field (awarded by start date).

  • Demonstrated experience with satellite or drone remote sensing for environmental or aquatic systems.

  • Proficiency in scientific programming (Python, R, or equivalent).

  • Knowledge of machine-learning methods applied to environmental or geospatial data.

  • Excellent writing, analytical, and communication skills, with a record of scholarly publications.

Preferred Qualifications:

  • Experience with Python-based cloud computing or high-performance computing environments.

  • Background in hydrology, limnology, or biogeochemistry.

  • Experience mentoring students and working within interdisciplinary research teams.

  • Ability to travel and present research at professional conferences.

Pay Range:

$65,000 - $72,000

RFCUNY Benefits
RFCUNY Employee Benefits and Accruals

Equal Employment Opportunity Statement
The Research Foundation of the City University of New York is an Equal Opportunity/Affirmative Action/Americans with Disabilities Act/E-Verify Employer. It is the policy of the Research Foundation of CUNY to provide equal employment opportunities free of discrimination based on race, color, age, religion, sex, pregnancy, childbirth, national origin, disability, marital status, veteran status, sexual orientation, gender identity, genetic information, marital status, domestic violence victim status, arrest record, criminal conviction history, or any other protected characteristic under applicable law.


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