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Aoc Network Jobs (NOW HIRING)

Diagnose Layer 1-Layer 3 connectivity issues involving switches, optics, transceivers, fiber, DAC/AOC cables, NICs, and network interfaces. Isolate faults and escalate complex issues to senior ...

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Aoc Network information

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$22K

$106.6K

$162.5K

How much do aoc network jobs pay per year?

As of Sep 6, 2026, the average yearly pay for aoc network in the United States is $106,570.00, according to ZipRecruiter salary data. Most workers in this role earn between $80,500.00 and $128,000.00 per year, depending on experience, location, and employer.

What is the difference between Aoc Network vs Network Technician?

AspectAoc NetworkNetwork Technician
CertificationsCompTIA Network+, Cisco CCNACompTIA Network+, Cisco CCNA
Work EnvironmentIT companies, data centers, network providersIT support, telecommunications, corporate networks
Job ResponsibilitiesDesign, implement, and manage networks; troubleshoot issuesInstall, maintain, and repair network hardware and software

Both Aoc Network and Network Technicians require similar certifications and often work in IT or telecommunications environments. However, Aoc Network roles tend to focus more on network design and management, while Network Technicians primarily handle installation and troubleshooting tasks. Understanding these differences helps in choosing the right career path or job search focus.

More about Aoc Network jobs

What cities are hiring for Aoc Network jobs?

Cities with the most Aoc Network job openings:

What states have the most Aoc Network jobs?

States with the most job openings for Aoc Network jobs include:

Infographic showing various Aoc Network job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 11% Part Time, and 6% Contract. Highlights an 93% Physical, 2% Hybrid, and 5% Remote job distribution, with an average salary of $106,570 per year, or $51.2 per hour.

Network Infrastructure Architect

SambaNova

San Jose, CA • On-site

Full-time

Re-posted 12 days ago


Job description

About the role

SambaNova is accelerating from rack-scale to global-scale AI compute clusters. We're looking for a Network Architect join us on this exciting new chapter and own this critical layer end to end.

Responsibilities

In this role, you'll be architecting the network fabrics that power hyperscale AI clusters, from RDU-accelerated servers to global-scale deployments, owning the fabric, interconnect, and spine-leaf design decisions that shape how our compute platforms are built. You'll partner closely with hardware engineering, supply chain, and customer-facing teams to translate workload requirements into platform roadmaps, taking a vendor-agnostic approach that avoids lock-in. Your architecture decisions will directly shape the products we ship and how fast the world's largest AI clusters come online.

Required Qualifications
  • 12+ years designing or architecting infrastructure for hyperscale, AI, HPC, or large-scale data center environments
  • Deep working knowledge of AI cluster networking, including InfiniBand, RoCEv2, Ethernet-based AI fabrics, 400G/800G interconnects, and GPU-to-GPU east-west traffic patterns
  • Experience with lossless Ethernet designs, including QoS, ECN, PFC, congestion management, buffer tuning, and failure-domain isolation
  • Strong understanding of spine-leaf architectures and associated technologies (VXLAN, EVPN, BGP, ECMP, underlay/overlay design, network automation)
  • Familiarity with high-speed optics and cabling for AI clusters, including 400G/800G transceivers, DAC/AOC, fiber topology, and link budgets
  • Experience translating customer and workload requirements into product requirements, platform roadmaps, and architecture tradeoffs
  • Vendor-agnostic approach to platform selection and interoperability across switch, NIC, optical, and fabric ecosystems
  • Ability to partner across hardware engineering, supply chain, operations, and customer-facing teams to bring platforms from concept through deployment
Preferred Qualifications
  • Experience with AI compute platforms: GPU/accelerator systems, rack-scale compute, NVLink/NVSwitch-class fabrics, PCIe/CXL, DPUs/IPUs
  • Understanding of rack-level power, thermal, mechanical, and serviceability requirements, and how network choices drive them (NIC selection, cabling density, PCIe lane allocation)
  • Background in large-scale fleet operations: lifecycle management, reliability, observability, telemetry, field issue resolution