ZipRecruiter

Log In

1

Optical Transport Network Engineer Jobs in Minnesota

GDIT

Network Engineer Senior

Rochester, MN · On-site

$110K - $149K/yr

MPE network design; routing and switching; transport integration; troubleshooting; technical ... across engineering, cybersecurity, operations, and mission partner teams. * Preferred Skills:

GDIT

Network Engineer Senior

Rochester, MN · On-site

$107K - $141K/yr

Network Engineering, Network Integration, Networks Certifications: None Experience: 8 + years of ... or transportation benefits, above base salary range noted. Scheduled Weekly Hours: 40 Travel ...

GDIT

Network Engineer Senior

Rochester, MN · On-site

$107K - $141K/yr

Network Engineering, Network Integration, Networks Certifications: None Experience: 8 + years of ... or transportation benefits, above base salary range noted. Scheduled Weekly Hours: 40 Travel ...

Olson Technology

Be Seen First

Senior Network Engineer / Client Solutions Lead

Minneapolis, MN · On-site

$45 - $70/hr

Job Summary We are looking for an experienced Senior Network Engineer to help support and grow our ... Valid driver's license and reliable transportation required for client-site visits Preferred ...

Viejas Casino & Resort

Installs copper, fiber optical cable, coaxial cable into conduit pathways and trenches to complete ... Maintains and provides necessary records and documentation associated with network ...

Peraton

Network Installer - Central

Minneapolis, MN · On-site

$24.50 - $31.50/hr

... vital transportation infrastructures-working alongside experts in aviation, engineering ... Install, terminate, and test fiber optic cabling (single-mode and multi-mode) * Perform fiber ...

Peraton

Network Installer - Central

Minneapolis, MN

$24.50 - $31.50/hr

... vital transportation infrastructures-working alongside experts in aviation, engineering ... Install, terminate, and test fiber optic cabling (single-mode and multi-mode) * Perform fiber ...

Peraton

Network Installer - Central

Minneapolis, MN · On-site

$24.50 - $31.50/hr

... vital transportation infrastructures-working alongside experts in aviation, engineering ... Install, terminate, and test fiber optic cabling (single-mode and multi-mode) * Perform fiber ...

Peraton

Network Installer - Central

Minneapolis, MN

$24.50 - $31.50/hr

... vital transportation infrastructures-working alongside experts in aviation, engineering ... Install, terminate, and test fiber optic cabling (single-mode and multi-mode) * Perform fiber ...

Peraton

Network Installer - Central

Minneapolis, MN · On-site

$24.50 - $31.50/hr

... vital transportation infrastructures-working alongside experts in aviation, engineering ... Install, terminate, and test fiber optic cabling (single-mode and multi-mode) * Perform fiber ...

Peraton

Network Installer - Central

Minneapolis, MN · On-site

$24.50 - $31.50/hr

... vital transportation infrastructures-working alongside experts in aviation, engineering ... Install, terminate, and test fiber optic cabling (single-mode and multi-mode) * Perform fiber ...

Peraton

Network Installer - Central

Minneapolis, MN · On-site

$24.50 - $31.50/hr

... vital transportation infrastructures-working alongside experts in aviation, engineering ... Install, terminate, and test fiber optic cabling (single-mode and multi-mode) * Perform fiber ...

Peraton

Network Installer - Central

Minneapolis, MN

$24.50 - $31.50/hr

... vital transportation infrastructures-working alongside experts in aviation, engineering ... Install, terminate, and test fiber optic cabling (single-mode and multi-mode) * Perform fiber ...

Peraton

Network Installer - Central

Minneapolis, MN

$24.50 - $31.50/hr

... vital transportation infrastructures-working alongside experts in aviation, engineering ... Install, terminate, and test fiber optic cabling (single-mode and multi-mode) * Perform fiber ...

next page

Showing results 1-20

All JobsOptical Transport Network Engineer JobsOptical Transport Network Engineer Jobs in Minnesota

Optical Transport Network Engineer information

What is an optical transport network engineer?

An Optical Transport Network Engineer is a professional responsible for designing, implementing, and maintaining optical fiber networks that transmit large volumes of data over long distances. They work with technologies such as DWDM (Dense Wavelength Division Multiplexing), SONET/SDH, and OTN to ensure efficient and reliable data transport. Their duties often include network planning, troubleshooting, performance optimization, and integrating new hardware or software. These engineers play a critical role in supporting telecommunications infrastructure for internet service providers, data centers, and enterprise networks.

Are optical transport network engineers in demand?

Optical Transport Network (OTN) engineers are in demand due to the ongoing need for high-capacity, reliable fiber optic communication infrastructure. They are often required to have skills in network design, troubleshooting, and familiarity with equipment such as DWDM systems and network management tools, making their expertise valuable in telecommunications and data center environments.

What is the difference between Optical Transport Network Engineer vs Network Operations Center (NOC) Technician?

AspectOptical Transport Network EngineerNetwork Operations Center (NOC) Technician
CertificationsOptical certifications (e.g., CWNA, Cisco CCNA/CCNP)Network+ or CCNA
Work EnvironmentDesign, implement, and troubleshoot optical networksMonitor and maintain network performance
Industry UsageTelecom providers, data centers, ISPsService providers, enterprise networks

The Optical Transport Network Engineer focuses on designing and maintaining optical fiber networks, requiring specialized certifications and technical skills. In contrast, the NOC Technician primarily monitors network health and performs troubleshooting. Both roles are essential in network operations but differ in scope and responsibilities.

What are the key skills and qualifications needed to thrive as an optical transport network engineer?

To thrive as an Optical Transport Network Engineer, you need a deep understanding of optical networking principles, fiber optics, and telecommunications protocols, usually backed by a degree in electrical engineering or a related field. Familiarity with DWDM, SONET/SDH, network management systems, and certifications such as Cisco or Juniper are often required. Strong analytical thinking, problem-solving abilities, and effective communication help engineers troubleshoot complex issues and collaborate with cross-functional teams. These skills ensure reliable network performance, rapid fault resolution, and successful implementation of high-capacity optical transport solutions.

What are some common challenges optical transport network engineers face when integrating new technologies into existing infrastructure?

Optical Transport Network Engineers often encounter challenges when integrating newer technologies, such as ensuring compatibility with legacy equipment and minimizing network downtime during upgrades. Balancing the need for increased bandwidth and performance with cost constraints is another frequent issue. Engineers must also coordinate closely with cross-functional teams, such as network architects and operations staff, to plan, test, and implement changes without disrupting critical network services.
What are popular job titles related to Optical Transport Network Engineer jobs in Minnesota? For Optical Transport Network Engineer jobs in Minnesota, the most frequently searched job titles are:
What job categories do people searching Optical Transport Network Engineer jobs in Minnesota look for? The top searched job categories for Optical Transport Network Engineer jobs in Minnesota are:
What cities in Minnesota are hiring for Optical Transport Network Engineer jobs? Cities in Minnesota with the most Optical Transport Network Engineer job openings:
Optical Transport Network Engineer jobs near you
Infographic showing various Optical Transport Network Engineer job openings in Minnesota as of August 2026, with employment types broken down into 74% Full Time, and 26% Contract. Highlights an 100% In-person job distribution.

Network Engineer, AI Infrastructure Repair

Meta

Rosemount, MN

$193K/yr

Full-time

Re-posted 6 days ago

Meta rating

7.8

Company rating: 7.8 out of 10

Based on 45 frontline employees who took The Breakroom Quiz

136th of 242 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.

What Meta employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

Apply