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Full Stack Network Associate Jobs in Raleigh, NC

You will be a full stack developer responsible for developing applications in a highly distributed ... network, making friends, and taking full advantage of cultural and social experiences CLIENT ...

Network software development: full stack software development for our industry leading networking stack. * Work with multi-functional teams to plan, design, implement and integrate the solution ...

NOC Technician I

Cary, NC · Hybrid

$19.45/hr

The Network Operations team monitors and maintains all of the Companys U.S. Tower division assets ... As an industry leader in Full-Stack Technology Services, Talent Services, and real-world ...

NOC Technician I

Cary, NC · Hybrid

$19.45/hr

The Network Operations team monitors and maintains all of the Companys U.S. Tower division assets ... As an industry leader in Full-Stack Technology Services, Talent Services, and real-world ...

Associate degree or higher in Computer Science or a related IT field. * Two or more certifications ... As an industry leader in Full-Stack Technology Services, Talent Services, and real-world ...

Smart NIC Software Engineer, Embedded

Raleigh, NC · On-site

$127K - $168K/yr

... full-stack as we continue to push technology forward. The NetInfra group is responsible for developing networking infrastructure that powers Google services and Google Cloud. We design and build ...

Role Overview We're building a full-stack technology team to drive our platform forward and are hiring at all levels of experience. Whether you're an early-career developer or a seasoned architect ...

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Full Stack Network Associate information

See Raleigh, NC salary details

$13

$24

$41

How much do full stack network associate jobs pay per hour?

As of Jun 18, 2026, the average hourly pay for full stack network associate in Raleigh, NC is $24.80, according to ZipRecruiter salary data. Most workers in this role earn between $17.31 and $34.57 per hour, depending on experience, location, and employer.

What is a Full Stack Network Associate?

A Full Stack Network Associate is an IT professional skilled in both the configuration and management of network infrastructure (such as routers, switches, and firewalls) and the development or maintenance of network-related software and interfaces. They bridge the gap between traditional networking and modern software deployment, often working with both hardware and network automation tools. Their responsibilities can include network design, troubleshooting, security implementation, and sometimes writing code to automate network tasks or integrate with cloud platforms. This role is valuable in organizations that require both solid network foundations and agile, software-driven network management.

What is the difference between Full Stack Network Associate vs Network Technician?

AspectFull Stack Network AssociateNetwork Technician
CertificationsCompTIA Network+, Cisco CCNA, Cisco CCNP (preferred)CompTIA Network+, Cisco CCNA
Work EnvironmentDesign, implement, and troubleshoot network and application infrastructureInstall, maintain, and repair network hardware and connections
Job FocusBoth network infrastructure and application layer developmentPrimarily hardware and network connectivity issues
Industry UsageIT, telecommunications, cloud servicesIT support, enterprise networks, service providers

The Full Stack Network Associate combines network infrastructure skills with application development, requiring broader technical knowledge. In contrast, a Network Technician focuses mainly on hardware and connectivity issues. Both roles often share certifications like CompTIA Network+ and Cisco CCNA, but the Full Stack Network Associate's responsibilities extend into software and system integration, making it suitable for roles that demand a comprehensive understanding of network and application layers.

What are the key skills and qualifications needed to thrive as a Full Stack Network Associate, and why are they important?

To thrive as a Full Stack Network Associate, you need a solid understanding of networking fundamentals, protocols, and troubleshooting, typically backed by a relevant degree or certifications like CompTIA Network+ or Cisco CCNA. Familiarity with network monitoring tools, configuration management systems, and scripting languages such as Python is commonly required. Strong problem-solving abilities, attention to detail, and effective communication skills help professionals excel in this role. These skills ensure the secure, reliable, and efficient operation of network infrastructure, which is critical for business continuity.

What are some common challenges Full Stack Network Associates face when supporting both front-end and back-end network systems?

Full Stack Network Associates often juggle responsibilities across multiple layers of network infrastructure, such as troubleshooting connectivity issues, managing network security, and configuring both hardware and software components. One common challenge is staying updated with diverse technologies, as the role may involve everything from configuring routers and switches to supporting cloud-based networking solutions. Effective communication and collaboration with cross-functional teams—like security, systems administration, and development—are essential to resolve issues swiftly and maintain network reliability. Adapting to rapidly evolving network protocols and security threats is also a key part of the job, making continuous learning critical for success.
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Senior Software Engineer, Cloud-Native Stack - CSP Engagements

Senior Software Engineer, Cloud-Native Stack - CSP Engagements

NVIDIA

Durham, NC • On-site

Full-time

This job post has expired today. Applications are no longer accepted.


Job description

Job Summary:
NVIDIA is a leading technology company known for its groundbreaking developments in Artificial Intelligence and High-Performance Computing. They are seeking a Senior Software Engineer for their CSP Engagements team to focus on the cloud-native stack for advanced AI/ML datacenters, tackling complex scheduling challenges and enhancing Kubernetes and Slurm functionalities.
Responsibilities:
• Perform deep-dive debugging of multi-rack, multi-tenant clusters: scheduler behavior, container runtime issues, device-plugin crashes, RDMA/IB fabric anomalies, etc.
• Gather customer requirements and prototype feature extensions for Kubernetes operators, Slurm plugins, and custom micro-services that expose new GPU capabilities.
• Drive joint architecture reviews and “whiteboard” sessions with CSP and internal platform teams; convert findings into RFCs and upstream pull requests.
• Create reproducible testbeds (Helm/Ansible/Terraform) that mirror customer environments; automate validation and benchmark suites.
• Deliver technical collateral-design docs, how-to guides, demo scripts-and present at customer on-sites, KubeCon, and SlurmUG.
• Collaborate with AE, FAE, and Solution Architect teams to deliver integrated customer solutions and technical documentation.
Qualifications:
Required:
• Strong source-level expertise in Kubernetes internals (scheduler, CRI/CNI/CSI, operators) and Slurm (federation, power-save, plugins).
• Hands-on experience integrating next-gen GPUs (Blackwell/GB200/GB300) or comparable accelerators into containerized clusters.
• Proven track record debugging large-scale, cloud-native stacks across networking (RDMA/RoCE), storage, and control planes.
• Customer-facing engineering or solutions-architect background: requirements gathering, PoC ownership, roadmap influence.
• Familiarity with CI/CD (GitHub Actions, Tekton), observability (Prometheus, OpenTelemetry), and infrastructure-as-code.
• Excellent communication-able to switch between deep technical detail and high-level business impact.
• 10+ years of professional software development experience in distributed systems (Go, Rust, C/C++ or Python for tooling).
• BS or MS (or equivalent experience) in Computer Engineering, Computer Science, or related field.
Preferred:
• Upstream contributions to Kubernetes, Slurm, Volcano, or similar projects.
• Experience with GPU computing (CUDA), deep learning workloads
Company:
NVIDIA is a computing platform company operating at the intersection of graphics, HPC, and AI. Founded in 1993, the company is headquartered in Santa Clara, USA, with a team of 10001+ employees. The company is currently Late Stage.

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