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Remote Cs Core Network Engineer Jobs in Rexburg, ID

Remote Cs Core Network Engineer information

See Rexburg, ID salary details

$25.9K

$91.1K

$132K

How much do remote cs core network engineer jobs pay per year?

As of Aug 27, 2026, the average yearly pay for remote cs core network engineer in Rexburg, ID is $91,070.00, according to ZipRecruiter salary data. Most workers in this role earn between $74,300.00 and $111,500.00 per year, depending on experience, location, and employer.

What is a Remote CS Core Network Engineer?

A Remote CS (Circuit Switched) Core Network Engineer is a telecommunications professional responsible for designing, implementing, maintaining, and troubleshooting the core circuit-switched network infrastructure of telecom operators, typically from a remote location. They focus on services such as voice calls, SMS, and other legacy telecom services, ensuring the core network operates efficiently and reliably. This role often involves working with technologies like MSC, HLR, and MGW, and requires expertise in network protocols, security, and system optimization. Remote CS Core Network Engineers collaborate with onsite teams and use secure connections to manage network elements without being physically present at the site. Their work is critical to maintaining high service availability and quality for end-users.

What are the key skills and qualifications needed to thrive as a Remote CS Core Network Engineer?

To thrive as a Remote CS Core Network Engineer, you need in-depth knowledge of telecommunications networks, particularly circuit-switched core networks, along with a relevant degree in engineering or computer science. Familiarity with network management tools, protocols like SS7 and SIP, and certifications such as CCNA or similar are typically required. Strong problem-solving, analytical thinking, and effective communication are vital soft skills for remote collaboration and troubleshooting. These competencies ensure reliable network performance, rapid issue resolution, and seamless teamwork across geographically dispersed teams.

What are some common challenges faced by Remote CS Core Network Engineers and how can they be effectively managed?

Remote CS Core Network Engineers often encounter challenges such as troubleshooting complex network issues without on-site access, coordinating with geographically dispersed teams, and ensuring secure remote access to sensitive core infrastructure. Effective management of these challenges involves leveraging robust remote monitoring and diagnostic tools, maintaining clear and regular communication with both local and international team members, and following strict security protocols for remote access. Proactively documenting issues and collaborating closely with cross-functional teams also helps in resolving problems efficiently and minimizing downtime.

What is the difference between Remote Cs Core Network Engineer vs Remote Network Operations Center (NOC) Technician?

AspectRemote Cs Core Network EngineerRemote Network Operations Center (NOC) Technician
CredentialsNetworking certifications (e.g., CCNA, CCNP)Networking certifications (e.g., CompTIA Network+)
Work EnvironmentDesign, implement, and troubleshoot core network infrastructureMonitor and maintain network performance, respond to alerts
Industry UsageTelecommunications, ISPs, large enterprise networksTelecom providers, managed service providers
Search/Comparison IntentTechnical design and engineering rolesOperational monitoring and support roles

The Remote Cs Core Network Engineer focuses on designing, deploying, and troubleshooting core network components, requiring advanced technical skills and certifications. In contrast, the Remote NOC Technician primarily monitors network performance, responds to issues, and maintains existing infrastructure. Both roles are essential in telecom and ISP industries but differ in responsibilities and skill sets.

What cities near Rexburg, ID are hiring for Remote Cs Core Network Engineer jobs?

Cities near Rexburg, ID with the most Remote Cs Core Network Engineer job openings:

Research Intern on Generative and Protective AI for Content Creation

Rexburg, ID • On-site, Remote

Sony
Appliances and Electrical and Electronics Wholesalers • 10K+ employees

$50/hr

Full-time

Posted 26 days ago


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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