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Complete Network Jobs in Raleigh, NC (NOW HIRING)

Each PM isresponsible for the complete oversight and management of their jobs including day-to ... Integrate multiple systems (AV, lighting, HVAC, security, networking) * Handle advanced ...

Be responsible for the complete honey harvest directly from the hives (targeting a yield of 30 ... A global beekeeping network : Join our Hive-Mind! You'll be part of a world-wide network of ...

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Complete Network information

See Raleigh, NC salary details

$14

$25

$37

How much do complete network jobs pay per hour?

As of Jul 10, 2026, the average hourly pay for complete network in Raleigh, NC is $25.90, according to ZipRecruiter salary data. Most workers in this role earn between $21.97 and $28.27 per hour, depending on experience, location, and employer.

What is the difference between Complete Network vs Network Technician?

AspectComplete Network
CertificationsCCNA, CompTIA Network+
Work EnvironmentDesign, implementation, and management of entire network systems
Employer & Industry UsageIT companies, large organizations, network service providers
Common Search & ComparisonNetwork design vs network troubleshooting

While a Network Technician primarily focuses on troubleshooting, maintaining, and repairing existing network systems, a Complete Network professional handles the entire network lifecycle, including design, deployment, and optimization. The Complete Network role requires broader skills and certifications, making it suitable for comprehensive network management.

What are popular job titles related to Complete Network jobs in Raleigh, NC? For Complete Network jobs in Raleigh, NC, the most frequently searched job titles are:
What job categories do people searching Complete Network jobs in Raleigh, NC look for? The top searched job categories for Complete Network jobs in Raleigh, NC are:
What cities near Raleigh, NC are hiring for Complete Network jobs? Cities near Raleigh, NC with the most Complete Network job openings:
Infographic showing various Complete Network job openings in Raleigh, NC as of July 2026, with employment types broken down into 83% Full Time, and 17% Part Time. Highlights an 100% In-person job distribution, with an average salary of $53,872 per year, or $25.9 per hour.
Senior Solutions Architect, AI Factory Observability and Visualization - NVIS

Senior Solutions Architect, AI Factory Observability and Visualization - NVIS

Nvidia

Durham, NC

Full-time

Posted 15 days ago


Job description

NVIDIA's Infrastructure Specialists team is hiring a Senior Solutions Architect - AI Factory Observability & Visualization! This remote role develops full-spectrum visibility that supports the smooth functioning of HPC systems and AI factories, transforming intricate telemetry across network and compute into straightforward, actionable perspectives.

The role has a complete, end-to-end understanding of the HPC/AI system, running and interpreting microbenchmarks and workloads to confirm system readiness, then establishing the observability that maintains this state. The work involves collaborating across NVIDIA teams to help partners see, understand, and respond to HPC system and AI factory performance, from hardware to workload.

What You Will be Doing:

  • Run AI factory validation tools, microbenchmarks, and workloads provided by the team, and interpret results to assess system health and performance.

  • Gain a comprehensive understanding of the system from start to finish, including network topology, interconnects, and compute.

  • Establish what "healthy" represents across the stack - the metrics, logs, and signals that confirm a system is functioning well, and the thresholds that show it isn't.

  • Build and extend the telemetry surface across hardware, fabric, and workload, crafting how data is collected, transformed, stored, and surfaced.

  • Serve as the observability expert, investigating gaps in visibility to ensure it reflects true system behavior.

  • Develop automation (Python, Shell) for collecting, transforming, and presenting system and network data.

  • Recommend improvements to system visibility, data sources, and reporting that give teams clearer insight.

  • Collaborate with hardware, software, networking, datacenter, and product groups to ready HPC systems and AI factories for customer deployment, contributing documentation and readiness materials throughout the process.

What We Need to See:

  • Bachelor's degree or equivalent experience in Computer Science, Mathematics, Engineering, Physics, or related field.

  • 6+ years of experience managing Linux-based systems in HPC, distributed systems, or large AI/ML settings.

  • Hands-on experience with the architecture of multi-GPU and/or multi-node clusters, including networking and interconnects.

  • Solid grasp of how HPC and AI factory systems fit together end to end, from network fabric through compute.

  • Proficiency with Python and Shell/Bash for scripting, automation, and tooling.

  • Practical experience working with observability systems (e.g., Prometheus, Grafana, Loki, or similar), including building custom exporters or collectors, setting up alerts, and handling metric cardinality and retention on a large scale.

  • Experience transforming metrics, logs, and traces into clear, actionable insight for complex distributed environments.

  • Familiarity with GPU and fabric telemetry (e.g., DCGM, NVLink, InfiniBand/Ethernet fabric counters) and using it to diagnose performance regressions.

  • Strong communication skills and the ability to work effectively with cross-functional teams.

Ways to Stand Out From the Crowd:

  • Experience with AI factory or large-scale AI infrastructure build, deployment, or operations.

  • Background in HPC systems engineering, SRE, or systems analysis for GPU-accelerated environments.

  • Experience building automation and data pipelines that feed dashboards and reporting at scale.

  • Demonstrated desire to use AI to solve practical problems, improve workflows, and guide data-driven decisions.

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 184,000 USD - 287,500 USD for Level 4, and 224,000 USD - 356,500 USD for Level 5.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until June 28, 2026.

This posting is for an existing vacancy.

NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

Nvidia logo

About Nvidia

Sourced by ZipRecruiter

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It's a unique legacy of innovation that's fueled by great technology--and amazing people. Today, we're tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what's never been done before takes vision, innovation, and the world's best talent.

Industry

Computer and electronic product manufacturing

Company size

10,000+ Employees

Headquarters location

Santa Clara, CA, US

Year founded

1993