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Remote Optical Network Engineer Jobs in Fargo, ND

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Remote Optical Network Engineer information

See Fargo, ND salary details

$81.5K

$141K

$165.4K

How much do remote optical network engineer jobs pay per year?

As of Aug 10, 2026, the average yearly pay for remote optical network engineer in Fargo, ND is $141,001.00, according to ZipRecruiter salary data. Most workers in this role earn between $126,700.00 and $164,000.00 per year, depending on experience, location, and employer.

What is a remote optical network engineer?

A Remote Optical Network Engineer is a professional who designs, installs, maintains, and troubleshoots optical fiber networks from a remote location. They work with technologies such as DWDM, CWDM, and other fiber optic equipment to ensure high-speed data transmission over long distances. These engineers may remotely monitor network performance, configure devices, and provide technical support to onsite teams or clients. Their role is crucial in telecommunications, internet service provision, and enterprises that rely on robust fiber optic infrastructure.

What is the difference between Remote Optical Network Engineer vs Remote Network Engineer?

AspectRemote Optical Network EngineerRemote Network Engineer
CertificationsCCNA, CCNP, Cisco Optical certificationsCCNA, CompTIA Network+, Cisco certifications
Work EnvironmentDesign, maintain, troubleshoot optical fiber and DWDM networksConfigure, support, troubleshoot various network types including LAN/WAN
Industry UsageTelecom, data centers, optical service providersIT, enterprise, service providers

Remote Optical Network Engineers focus on optical fiber and DWDM systems, requiring specialized optical certifications and experience. Remote Network Engineers have a broader scope, working with various network types. Both roles are essential in network infrastructure, but the optical engineer specializes in high-capacity fiber networks, while the network engineer handles diverse network environments.

What are the key skills and qualifications needed to thrive as a remote optical network engineer?

To thrive as a Remote Optical Network Engineer, you need a solid background in optical networking principles, fiber optic technology, and network troubleshooting, typically supported by a degree in engineering or a related field. Familiarity with tools like OTDRs, DWDM systems, network management software, and certifications such as Cisco CCNP or Juniper JNCIP are highly valuable. Strong problem-solving skills, attention to detail, and effective remote communication set top candidates apart. These competencies ensure reliable network performance and efficient remote resolution of complex optical issues.

What are some common challenges faced by remote optical network engineers, and how can they be effectively managed?

Remote Optical Network Engineers often encounter challenges such as troubleshooting complex network issues without on-site access, coordinating with geographically dispersed teams, and managing network upgrades or maintenance during off-peak hours. Effective communication with local field technicians and utilizing advanced remote monitoring tools are essential for resolving issues efficiently. Staying up-to-date with the latest optical technologies and maintaining detailed documentation further help in navigating these challenges, ensuring network reliability and performance.
What are popular job titles related to Remote Optical Network Engineer jobs in Fargo, ND? For Remote Optical Network Engineer jobs in Fargo, ND, the most frequently searched job titles are:
What job categories do people searching Remote Optical Network Engineer jobs in Fargo, ND look for? The top searched job categories for Remote Optical Network Engineer jobs in Fargo, ND are:
Remote Optical Network Engineer jobs near you

Research Intern on Generative and Protective AI for Content Creation

Sony

Fargo, ND • On-site, Remote

$50/hr

Full-time

This job post has expired today. Applications are no longer accepted.

Job description

Sony AI America, a branch of Sony AI, is a remotely distributed organization spread across the U.S. and Canada. Sony AI is Sony's new research organization pursuing the mission to use AI to unleash human creativity. Sony AI works closely with Sony's other business units, including Sony Interactive Entertainment LLC., Sony Pictures Entertainment Inc., and Sony Music Entertainment. With some 900 million Sony devices in hands and homes worldwide today, a vast array of Sony movies, television shows and music, and the PlayStation Network, Sony creates and delivers more entertainment experiences to more people than anyone else on earth. To learn more: https://ai.sony/

Position Summary

Sony AI is seeking research interns who are passionate about ML-based technologies that are useful in movie , game , and music creation, as well as technologies for the ethical operations of generative AIs. Our mission is to research and develop technologies for various Sony Group products and for scientific publication. The technologies developed during the internship will have the potential to be applied in film, game , and music production across entertainment studios worldwide.

Responsibilities

As a research intern, you will investigate and apply novel algorithms related to:

  • The generation and editing of video, sound, and 3D visual geometry (including 3D human motion).
  • The analysis and alleviation of ethical flaws in generative models, including techniques for memorization detection and mitigation, concept erasure, and data attribution.

Your goal will be to publish your findings in a top-tier conference. You are expected to be self-motivated and to implement innovative ideas using your research, coding, and problem-solving skills. You will receive support from internal scientists and engineers in your efforts.

Required Qualifications

  • Master's degree in Computer Science , Electrical Engineering, Applied Mathematics, or related fields.
  • Proven knowledge and expertise in generative AI applications, including deep generative modeling, computer vision, and audio signal processing.
  • Strong analytical and programming skills in deep learning using frameworks and tools for machine learning (e.g., PyTorch ) and visualization (e.g., TensorBoard ).
  • Experience in research communities, including published papers at top-tier conferences such as CVPR, ICCV, ECCV, NeurIPS , ICLR, and ICML.
  • Excellent communication and presentation skills.

Preferred Qualifications

  • Currently enrolled in a relevant Ph.D. program in fields such as Computer Science, Electrical Engineering, Applied Mathematics, or related disciplines.

Working Location

Location flexible (Tokyo, NYC, remote)

The target hourly rate for this internship is $50.00 per hour. The individual will be paid hourly and eligible for overtime .

LI-AS1

All qualified applicants will receive consideration for employment without regard to any basis protected by applicable federal, state, or local law, ordinance, or regulation.

Disability Accommodation for Applicants to Sony Corporation of America Sony Corporation of America provides reasonable accommodation for qualified individuals with disabilities and disabled veterans in job application procedures. For reasonable accommodation requests, please contact us by email at careers@sonyusa.com or by mail to: Sony Corporation of America, People Experience Department, 25 Madison Avenue, New York, NY 10010. Please indicate the position you are applying for.

We are aware that unauthorized individuals or organizations may attempt to solicit personal information or payments from job applicants by impersonating our company through fraudulent job postings. We take these matters seriously but cannot control third-party websites. To protect your personal information, please verify that any job posting you respond to also appears on our official Careers page: www.sonyjobs.com . Please also be advised that we never request personal identifying information (such as Social Security numbers, bank details, or copies of identification documents) during the initial stages of our application process. If you have any doubts about the authenticity of a job posting or communication, please contact careers@sonyusa.com before submitting any information.

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