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Intern Optical Network Engineer Jobs in Minnesota

ROCKWOOL

Sr. Electrical Engineer

Minneapolis, MN

$115K - $135K/yr

Optical network layout for below: * Rocknet * Process control system * Room schedule (together with the Mechanical Engineer, responsible for gathering input from project engineers) * Specifying the ...

Gateway Fiber

Field Engineer

Fridley, MN · On-site

Install optical transceivers and fiber optic jumpers. * Work cross-functionally to determine ... Provide knowledge and input regarding network engineering and design capabilities. What's in it for ...

Loll Designs

Lifecycle Engineering Intern

Duluth, MN · On-site

$18/hr

At Loll Designs, we're looking for a Lifecycle Product Engineering Intern who is excited to learn ... Professional development and networking opportunities * A deeper understanding of how products ...

Loll Designs

Lifecycle Engineering Intern

Duluth, MN

$18/hr

At Loll Designs, we're looking for a Lifecycle Product Engineering Intern who is excited to learn ... Professional development and networking opportunities * A deeper understanding of how products ...

Loll Designs

Lifecycle Engineering Intern

Duluth, MN

$18/hr

At Loll Designs, we're looking for a Lifecycle Product Engineering Intern who is excited to learn ... Professional development and networking opportunities * A deeper understanding of how products ...

Field Operations

Inside Plant Engineer I

Alexandria, MN · On-site

$67K - $107K/yr

As an Inside Plant Engineer I on our ISP team, you will troubleshoot and maintain Spectrum ... Optical Power Meter), Video Networking, IP & DOCSIS/CMTS * Can troubleshoot communication ...

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Intern Optical Network Engineer information

Is AI going to replace network engineers?

AI is unlikely to fully replace network engineers, including those working as optical network engineers, because the role requires complex problem-solving, system design, and hands-on troubleshooting that AI cannot perform independently. Instead, AI tools are expected to augment their work by automating routine tasks and providing data analysis, allowing engineers to focus on more strategic and technical aspects of network management.

Are optical engineers in high demand?

Optical engineers, including those specializing in optical network engineering, are in high demand due to the growth of high-speed communication networks and fiber optic infrastructure. Skills in fiber optics, network design, and related certifications can improve job prospects in this field.

What does an Intern Optical Network Engineer do?

An Intern Optical Network Engineer assists in designing, implementing, and maintaining optical communication networks that transmit data using light signals over fiber optics. Their responsibilities often include supporting senior engineers with network testing, troubleshooting, and documentation, as well as learning about industry standards and emerging technologies. Interns may also help with network upgrades, equipment configuration, and performance monitoring to ensure reliable, high-speed data transmission. This role provides valuable hands-on experience and exposure to real-world networking challenges in telecommunications and IT environments.

What types of projects and tasks can an Intern Optical Network Engineer expect to work on during their internship?

As an Intern Optical Network Engineer, you can expect to be involved in a variety of hands-on projects, such as assisting with the setup, configuration, and testing of optical networking equipment. You may help analyze network performance, troubleshoot connectivity issues, and document network topologies under the guidance of senior engineers. Interns often participate in cross-functional team meetings and may contribute to ongoing research or pilot projects focused on network optimization. This exposure provides a valuable opportunity to apply your technical knowledge in real-world scenarios while learning industry best practices from experienced professionals.

What are the key skills and qualifications needed to thrive as an Intern Optical Network Engineer, and why are they important?

To thrive as an Intern Optical Network Engineer, you need a solid understanding of optical communication principles, basic networking concepts, and typically be pursuing or hold a degree in electrical engineering, telecommunications, or a related field. Familiarity with optical networking equipment (like DWDM, OTN), network simulation tools, and exposure to industry standards such as ITU-T or IEEE are commonly required. Strong analytical thinking, effective communication, and eagerness to learn help you excel in team environments and adapt to complex projects. These skills ensure you can support network design, troubleshooting, and implementation tasks while growing into more advanced engineering roles.

What engineer makes $500,000 a year?

While most optical network engineers earn between $80,000 and $150,000 annually, highly experienced professionals with advanced skills, certifications, and leadership roles in large organizations can potentially earn $500,000 or more per year. Such salaries are typically associated with senior positions, specialized expertise, or executive-level roles in the telecommunications industry.

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

AspectIntern Optical Network EngineerIntern Network Engineer
Required CertificationsBasic knowledge of optical networking, certifications like CCNA or CCNP preferredNetworking fundamentals, CCNA often preferred
Work EnvironmentOptical fiber labs, telecommunications companies, network service providersIT departments, data centers, enterprise networks
Industry UsageTelecommunications, internet service providers, optical fiber companiesIT, corporate, and enterprise sectors

Intern Optical Network Engineers focus on optical fiber and light-based communication systems, while Intern Network Engineers work with broader network infrastructure. Both roles require foundational networking knowledge, but the optical role emphasizes fiber optics technology. Understanding these differences helps candidates choose the right internship based on their interests and career goals.

What does a network engineer intern do?

A network engineer intern assists with designing, implementing, and maintaining optical and data network systems. They may troubleshoot network issues, support network configuration, and learn to use tools like network analyzers and monitoring software under supervision. The role provides hands-on experience in network infrastructure and technical skills development.
What are the most commonly searched types of Optical Network Engineer jobs in Minnesota? The most popular types of Optical Network Engineer jobs in Minnesota are:
Intern Optical Network Engineer jobs near you
Network Engineer, AI Infrastructure Repair

Network Engineer, AI Infrastructure Repair

Meta

Rosemount, MN

$193K/yr

Full-time

Posted 9 days ago

Meta rating

7.5

Company rating: 7.5 out of 10

Based on 44 frontline employees who took The Breakroom Quiz

135th of 209 rated software companies

Job description

Meta is building the next generation of AI infrastructure to power large-scale machine learning workloads, and the reliability of that infrastructure depends on reliable, high-performance network engineering. In this role, you will lead the strategy and execution for AI network repair and remediation programs, ensuring that the high-performance fabrics underpinning Meta's AI training and inference clusters remain operational, resilient, and optimized. You will drive cross-functional initiatives spanning network deployment, fault diagnosis, and repair automation across Meta's AI data center environments, shaping the systems and processes that keep AI infrastructure at scale.
Network Engineer, AI Infrastructure Repair Responsibilities:
  • Define and drive the long-term strategy for AI network repair and remediation programs across large-scale data center environments supporting machine learning workloads
  • Lead root cause analysis and resolution of complex network faults affecting high-performance AI training and inference fabrics, including RDMA, high-speed Ethernet, and optical interconnect layers
  • Develop and champion novel approaches to network fault detection, automated remediation, and repair workflow optimization for AI cluster infrastructure
  • Partner with hardware, software, and data center operations teams to align network repair programs with AI infrastructure deployment roadmaps and capacity plans
  • Establish and refine operational frameworks, runbooks, and tooling for network repair at scale, reducing mean time to repair across AI fabric environments
  • Identify systemic reliability risks in AI network infrastructure and drive cross-functional initiatives to address them before they impact production workloads
  • Influence the design of next-generation AI network architectures by contributing repair and reliability insights to hardware and topology decisions
  • Leverage AI-driven analytics and automation tools to redesign repair workflows, accelerating fault identification and resolution across distributed network environments
  • Build and maintain strategic relationships with internal engineering, operations, and vendor partners to ensure repair programs scale with AI infrastructure growth
  • Communicate program status, risk, and strategic recommendations to engineering leaders and cross-functional stakeholders through structured reporting and executive briefings

Minimum Qualifications:
  • Experience influencing technical direction and organizational strategy through data-driven analysis, written proposals, and stakeholder alignment across engineering and operations teams
  • Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
  • Experience leading cross-functional programs that span network operations, hardware deployment, and infrastructure reliability at data center scale
  • Experience developing and driving strategy for network fault management, repair automation, or remediation programs in production environments
  • Experience designing, deploying, or operating high-speed network fabrics used in AI or machine learning infrastructure, including technologies such as RDMA over Converged Ethernet, InfiniBand, or high-density optical interconnects
  • 12+ years of experience in network engineering, with a focus on large-scale data center or high-performance computing network environments

Preferred Qualifications:
  • Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies
  • Experience with network telemetry platforms, observability tooling, or AI-assisted anomaly detection applied to large-scale fabric environments
  • Experience building or scaling repair operations programs, including workforce planning, tooling development, and process standardization across multiple data center sites
  • Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)
  • Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)
  • Track record of contributing to network hardware or topology design reviews, translating operational repair insights into upstream engineering improvements
  • Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)
  • Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)
  • Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies
  • Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies
  • Familiarity with AI accelerator interconnect architectures and the network reliability requirements of distributed training workloads at hyperscale

About Meta:
Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics.
Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.
Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@meta.com.
$193,000/year to $271,000/year + bonus + equity + benefits
Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about benefits at Meta.

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