TEKsystems
Overview
This is a hands-on network engineering position focused on the architecture, design, development and deployment of ultra-high-speed, resilient, and scalable DC AI Clusters and Interconnects for GPU-accelerated data centers and compute clusters. Outstanding problem-solving abilities and a comprehensive understanding of the network security protocols & standards, routing, switching, automation and deep understanding of fundamental network theory is also critical to your success at NVIDIA. What you will be doing
Lead the architecture, design, and deployment of global-scale DCs inter-connects and fabric for HPC, AI, and GPU computing clusters. Develop high-performance data center fabric using InfiniBand, Ultra Ethernet and related technologies. Optimize carrier interconnects, intra and inter DC routing, and dark fiber deployments to ensure low latency and high reliability. Partner with system, OS, GPU, and HPC teams to deliver scalable, highly available networks for extreme-performance workloads. Implement network monitoring, telemetry, solving, and continuous performance improvement processes. Drive technology selection, vendor engagement, and lifecycle management for Data Center hardware and software. Collaborate with internal product managers to develop NVIDIA on NVIDIA solutions. What we need to see
MS or PhD in Electrical Engineering, Computer Science, Computer Engineering, Artificial Intelligence, Data Science, Mathematics, Statistics, or equivalent experience. 12+ years of experience in building, managing and supporting large scale hybrid networks, developing automation pipelines with Python, Ruby, Go or other languages used in infrastructure automation. Expert in networking technologies: InfiniBand, Ultra Ethernet, ROCEv2, DCQCN, TCP/UDP, IPv4/IPv6, BGP/MP-BGP, VPN, L2 switching, EVPN, VxLAN, Segment Routing, MPLS. Experience automating network infrastructure. Experience using an automated configuration management system (Python, Terraform, Chef, Puppet, Ansible, Salt, etc.). Skills
Network engineering, ethernet, automating network infrastructure, routers and switches, data center, HPC computing, AI Clusters, RoCEv2. Top Skills Details
Network engineering, ethernet, automating network infrastructure, routers and switches, data center, HPC computing, AI Clusters, RoCEv2. Additional Skills & Qualifications
The team is looking to build around 150 megawatts of capacity over the next year and need AI Cluster experts to lead the team in the US. Experience Level
Expert Level Pay and Benefits
The pay range for this position is $90.00 - $96.00/hr. Eligibility requirements apply to some benefits and may depend on your job classification and length of employment. Benefits are subject to change and may be subject to specific elections, plan, or program terms. If eligible, the benefits available for this temporary role may include the following: Medical, dental & vision Critical Illness, Accident, and Hospital 401(k) Retirement Plan - Pre-tax and Roth post-tax contributions available Life Insurance (Voluntary Life & AD&D for the employee and dependents) Short and long-term disability Health Spending Account (HSA) Transportation benefits Employee Assistance Program Time Off/Leave (PTO, Vacation or Sick Leave) Workplace Type
This is a fully remote position. Application Deadline
This position is anticipated to close on Oct 15, 2025. About TEKsystems
We\'re partners in transformation. We help clients activate ideas and solutions to take advantage of a new world of opportunity. We are a team of 80,000 strong, working with over 6,000 clients, including 80% of the Fortune 500, across North America, Europe and Asia. As an industry leader in Full-Stack Technology Services, Talent Services, and real-world application, we work with progressive leaders to drive change. That\'s the power of true partnership. TEKsystems is an Allegis Group company. The company is an equal opportunity employer and will consider all applications without regards to race, sex, age, color, religion, national origin, veteran status, disability, sexual orientation, gender identity, genetic information or any characteristic protected by law.
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This is a hands-on network engineering position focused on the architecture, design, development and deployment of ultra-high-speed, resilient, and scalable DC AI Clusters and Interconnects for GPU-accelerated data centers and compute clusters. Outstanding problem-solving abilities and a comprehensive understanding of the network security protocols & standards, routing, switching, automation and deep understanding of fundamental network theory is also critical to your success at NVIDIA. What you will be doing
Lead the architecture, design, and deployment of global-scale DCs inter-connects and fabric for HPC, AI, and GPU computing clusters. Develop high-performance data center fabric using InfiniBand, Ultra Ethernet and related technologies. Optimize carrier interconnects, intra and inter DC routing, and dark fiber deployments to ensure low latency and high reliability. Partner with system, OS, GPU, and HPC teams to deliver scalable, highly available networks for extreme-performance workloads. Implement network monitoring, telemetry, solving, and continuous performance improvement processes. Drive technology selection, vendor engagement, and lifecycle management for Data Center hardware and software. Collaborate with internal product managers to develop NVIDIA on NVIDIA solutions. What we need to see
MS or PhD in Electrical Engineering, Computer Science, Computer Engineering, Artificial Intelligence, Data Science, Mathematics, Statistics, or equivalent experience. 12+ years of experience in building, managing and supporting large scale hybrid networks, developing automation pipelines with Python, Ruby, Go or other languages used in infrastructure automation. Expert in networking technologies: InfiniBand, Ultra Ethernet, ROCEv2, DCQCN, TCP/UDP, IPv4/IPv6, BGP/MP-BGP, VPN, L2 switching, EVPN, VxLAN, Segment Routing, MPLS. Experience automating network infrastructure. Experience using an automated configuration management system (Python, Terraform, Chef, Puppet, Ansible, Salt, etc.). Skills
Network engineering, ethernet, automating network infrastructure, routers and switches, data center, HPC computing, AI Clusters, RoCEv2. Top Skills Details
Network engineering, ethernet, automating network infrastructure, routers and switches, data center, HPC computing, AI Clusters, RoCEv2. Additional Skills & Qualifications
The team is looking to build around 150 megawatts of capacity over the next year and need AI Cluster experts to lead the team in the US. Experience Level
Expert Level Pay and Benefits
The pay range for this position is $90.00 - $96.00/hr. Eligibility requirements apply to some benefits and may depend on your job classification and length of employment. Benefits are subject to change and may be subject to specific elections, plan, or program terms. If eligible, the benefits available for this temporary role may include the following: Medical, dental & vision Critical Illness, Accident, and Hospital 401(k) Retirement Plan - Pre-tax and Roth post-tax contributions available Life Insurance (Voluntary Life & AD&D for the employee and dependents) Short and long-term disability Health Spending Account (HSA) Transportation benefits Employee Assistance Program Time Off/Leave (PTO, Vacation or Sick Leave) Workplace Type
This is a fully remote position. Application Deadline
This position is anticipated to close on Oct 15, 2025. About TEKsystems
We\'re partners in transformation. We help clients activate ideas and solutions to take advantage of a new world of opportunity. We are a team of 80,000 strong, working with over 6,000 clients, including 80% of the Fortune 500, across North America, Europe and Asia. As an industry leader in Full-Stack Technology Services, Talent Services, and real-world application, we work with progressive leaders to drive change. That\'s the power of true partnership. TEKsystems is an Allegis Group company. The company is an equal opportunity employer and will consider all applications without regards to race, sex, age, color, religion, national origin, veteran status, disability, sexual orientation, gender identity, genetic information or any characteristic protected by law.
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