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Executive Network Engineer Jobs in Augusta, GA (NOW HIRING)

Wow

Principal Engineer, Core Network

Augusta, GA

$160K/yr

Principal Engineer, Core Network Location Requirement: This position operates on a hybrid schedule ... value for executives, stakeholders, and non-technical partners. Physical Demands & Working ...

WOWK-TV

Account Executive III, Sales

Augusta, GA · On-site

Nexstar's platform delivers exceptional local content and network programming to inform and ... The ideal Sales Account Executive candidate will possess strong presentation and communication ...

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All JobsNetwork Engineer JobsExecutive Network Engineer JobsExecutive Network Engineer Jobs in Augusta, GA

Executive Network Engineer information

See Augusta, GA salary details

$29.1K

$102.5K

$148.5K

How much do executive network engineer jobs pay per year?

As of Aug 8, 2026, the average yearly pay for executive network engineer in Augusta, GA is $102,498.00, according to ZipRecruiter salary data. Most workers in this role earn between $83,700.00 and $125,500.00 per year, depending on experience, location, and employer.

What is the difference between Executive Network Engineer vs Network Engineer?

AspectExecutive Network EngineerNetwork Engineer
CertificationsCCNP, CCIE, CISSPCCNA, CompTIA Network+
Work EnvironmentSenior-level, strategic planning, leadership rolesOperational, technical tasks, network setup and maintenance
Employer & Industry UsageCorporate, enterprise, government sectorsIT firms, service providers, corporate networks

Executive Network Engineers focus on strategic network planning, leadership, and high-level decision-making, often requiring advanced certifications. Network Engineers handle day-to-day network operations, configuration, and troubleshooting. While both roles require technical skills, Executive Network Engineers operate at a higher strategic level within organizations.

What are the most commonly searched types of Network Engineer jobs in Augusta, GA? The most popular types of Network Engineer jobs in Augusta, GA are:
What are popular job titles related to Executive Network Engineer jobs in Augusta, GA? For Executive Network Engineer jobs in Augusta, GA, the most frequently searched job titles are:
What job categories do people searching Executive Network Engineer jobs in Augusta, GA look for? The top searched job categories for Executive Network Engineer jobs in Augusta, GA are:
What cities near Augusta, GA are hiring for Executive Network Engineer jobs? Cities near Augusta, GA with the most Executive Network Engineer job openings:
Executive Network Engineer jobs near you
Infographic showing various Executive Network Engineer job openings in Augusta, GA as of August 2026, with employment types broken down into 1% As Needed, 80% Full Time, 11% Part Time, and 8% Contract. Highlights an 92% Physical, 3% Hybrid, and 5% Remote job distribution, with an average salary of $102,498 per year, or $49.3 per hour.

Network Engineer, AI Infrastructure Repair

Meta

Aiken, SC

$193K/yr

Full-time

Re-posted 3 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.

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