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Network Engineer, Corp IT

TensorWave· Operations
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Las Vegas, NevadaFull-timePosted 1w ago

About the role

Network Engineer to design, implement, operate, and improve TensorWave’s corporate network infrastructure with a focus on modernization. Hands-on role centered on Cisco enterprise networking within the Corporate IT team.

Responsibilities

  • Implement, configure, maintain, and troubleshoot enterprise LAN, WAN, wireless, and network security infrastructure.
  • Own defined networking workstreams within Corporate IT infrastructure initiatives.
  • Configure and support Cisco switching, routing, wireless, and related networking technologies.
  • Support redundant Internet connectivity, high-availability network designs, WAN failover, and SD-WAN technologies.
  • Configure and maintain VLANs, routing, spanning tree, link aggregation, access controls, network segmentation, and related Layer 2/Layer 3 technologies.
  • Support enterprise authentication technologies including 802.1X, RADIUS, certificate-based authentication, and network access controls.
  • Work with firewall and security teams to implement network segmentation, access policies, VPN connectivity, and security controls.
  • Monitor network availability, performance, capacity, and reliability and proactively identify potential issues.
  • Troubleshoot complex connectivity and performance issues using network diagnostic and packet-analysis tools.
  • Maintain accurate network diagrams, configuration documentation, IP addressing information, connection schedules, standards, and operating procedures.
  • Participate in network changes, upgrades, migrations, maintenance, and incident response.
  • Work with telecommunications carriers, technology vendors, managed service providers, and other external partners as needed.
  • Identify opportunities to improve network reliability, scalability, security, monitoring, and operational efficiency.
  • Share technical knowledge and networking best practices with Corporate IT team members and provide peer mentoring and technical guidance.
  • Support the development of repeatable network standards that can be applied across TensorWave corporate locations.

Qualifications

  • 3+ years of hands-on experience implementing and supporting enterprise network infrastructure.
  • Strong practical experience with Cisco switching and routing technologies.
  • Solid understanding of TCP/IP, VLANs, subnetting, routing, STP/RSTP, LACP, DHCP, DNS, NAT, VPNs, and common network protocols.
  • Experience troubleshooting complex Layer 2 and Layer 3 network issues.
  • Experience supporting enterprise wireless networks.
  • Experience with network segmentation, access controls, and security fundamentals.
  • Experience working with redundant WAN connectivity and high-availability network environments.
  • Ability to independently own technical deliverables and troubleshoot issues through resolution.
  • Strong documentation and communication skills.
  • Ability to work collaboratively with IT, Security, Infrastructure, vendors, and other technical teams.
  • Willingness to share knowledge and help develop the technical capabilities of other team members.

Skills

Required:Cisco switching and routingTCP/IP, VLANs, subnetting, routingLayer 2/Layer 3 troubleshootingWireless networkingNetwork security and segmentationWAN/HA/SD-WAN

Benefits

  • Stock Options
  • 100% paid Medical, Dental, and Vision insurance for Employees
  • Company Health Savings Account Contributions
  • 100% paid Short Term and Long Term Disability Insurance for Employees
  • Life and Voluntary Supplemental Insurance Options
  • Other Insurance Options, such as Pet & Legal Insurance
  • Various Supplementary Health Benefits, such as discounted Virtual Healthcare Appointments and Serious Illness Support
  • Flexible Spending Account
  • 401(k)
  • Employee Assistance Program
  • Flexible PTO
  • Paid Holidays
  • Parental Leave
  • Other In-Office Perks
Last updated Oct 15, 2026. Interested? Apply on the company site.
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About TensorWave

Next-Gen AI Infrastructure

TensorWave: AI & HPC Cloud with AMD Instinct™

AI inferencemanaged inferenceLLM inferenceAI model deploymentlow-latency inferencescalable AIAI autoscalingGPU inference
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