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Optical Deployment Engineer Jobs in Virginia (NOW HIRING)

Redhorse Corporation

Senior Network Engineer

Arlington, VA · On-site

$119K - $164K/yr

... deployment and maintenance of Type-1 encryption devices and adhere to strict COMSEC protocols. • ... and fiber optic media. • Provide technical support for both local Washington, D.C. sites and ...

NCSL International

Sensor Integration Engineer

Reston, VA · On-site

$110 - $160/hr

... electro-optical/infrared (EO/IR), electronic warfare (EW), LiDAR, acoustic detection, access ... Field Deployment Support * Support installation and activation of sensing systems. * Assist the ...

ARKA Group

Software Engineer (TS/SCI) {S}

Chantilly, VA · On-site

Collaborate with radar/electro-optical and research scientist experts to solve issues and iterate ... deployment, and maintenance * Troubleshoot and resolve technical issues in a timely and effective ...

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Optical Deployment Engineer information

What does an optical deployment engineer do?

An Optical Deployment Engineer is responsible for planning, designing, and implementing optical fiber networks that transmit data over long distances. Their work involves assessing network requirements, selecting appropriate optical equipment, and overseeing the installation and testing of fiber optic infrastructure. They ensure that the optical network meets performance standards and troubleshoot issues related to signal quality or connectivity. This role is essential in supporting high-speed internet, telecommunications, and data center operations.

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

To thrive as an Optical Deployment Engineer, you need strong knowledge of optical networking principles, fiber optic technologies, and a degree in electrical engineering or a related field. Experience with design and simulation tools (such as OptiSystem or Visio), familiarity with DWDM/CWDM systems, and relevant certifications like Cisco CCNA or FOA CFOT are typically required. Excellent problem-solving, project management, and communication skills help you coordinate deployments and troubleshoot complex issues. These competencies are crucial for ensuring reliable, high-performance optical networks and successful project delivery.

What are some common challenges optical deployment engineers face when working on large-scale network projects?

Optical Deployment Engineers often encounter challenges such as coordinating with multiple stakeholders, managing tight project timelines, and troubleshooting unforeseen issues during fiber installation or equipment deployment. Working on large-scale projects may require adapting to changing site conditions and ensuring that all installations meet rigorous safety and quality standards. Effective communication and collaboration with construction teams, network planners, and vendors are essential for overcoming these challenges and ensuring successful project delivery.

What is the difference between Optical Deployment Engineer vs Fiber Optic Technician?

AspectOptical Deployment EngineerFiber Optic Technician
CredentialsBachelor's in Engineering or related field, certifications like FOA or CiscoHigh school diploma or equivalent, certifications like FOA or OSHA
Work EnvironmentDesign, planning, and overseeing deployment projects, often in office or fieldInstalling, splicing, and maintaining fiber optic cables on-site
Industry UsageTelecommunications, internet service providers, network infrastructureTelecom companies, internet providers, cable TV installation

While both roles involve fiber optics, the Optical Deployment Engineer focuses on planning and managing deployment projects, whereas the Fiber Optic Technician handles hands-on installation and maintenance. Both roles are essential in the fiber optic industry but differ in responsibilities and required qualifications.

What are popular job titles related to Optical Deployment Engineer jobs in Virginia?

For Optical Deployment Engineer jobs in Virginia, the most frequently searched job titles are:

What job categories do people searching Optical Deployment Engineer jobs in Virginia look for?

The top searched job categories for Optical Deployment Engineer jobs in Virginia are:

What cities in Virginia are hiring for Optical Deployment Engineer jobs?

Cities in Virginia with the most Optical Deployment Engineer job openings:

Optical Deployment Engineer jobs near you
Infographic showing various Optical Deployment Engineer job openings in Virginia as of August 2026, with employment types broken down into 89% Full Time, 6% Part Time, and 5% Contract. Highlights an 86% Physical, 5% Hybrid, and 9% Remote job distribution.

Network Engineer, AI Infrastructure Repair

Meta

Richmond, VA

$193K/yr

Full-time

Re-posted 14 days ago

Meta rating

7.8

Company rating: 7.8 out of 10

Based on 45 frontline employees who took The Breakroom Quiz

137th of 245 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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