HPC AI Data Center Network Specialist

HPC AI Data Center Network Specialist

  

This role has been designed as ‘’Onsite’ with an expectation that you will primarily work from an HPE partner/customer office.

Who We Are:

Hewlett Packard Enterprise is the global edge-to-cloud company advancing the way people live and work. We help companies connect, protect, analyze, and act on their data and applications wherever they live, from edge to cloud, so they can turn insights into outcomes at the speed required to thrive in today’s complex world. Our culture thrives on finding new and better ways to accelerate what’s next. We know varied backgrounds are valued and succeed here. We have the flexibility to manage our work and personal needs. We make bold moves, together, and are a force for good. If you are looking to stretch and grow your career our culture will embrace you. Open up opportunities with HPE.

Job Description:

   

We are seeking an onsite HPC AI Data Center Network Technician with strong experience supporting high‑performance and AI‑focused networking environments.

This position requires working full‑time from the data center site in Norway, ensuring reliable, high‑bandwidth connectivity across complex compute infrastructures. In addition to networking duties, the technician will perform hands‑on hardware work, including diagnosing issues and replacing failed components such as servers, switches, and GPU hardware. Candidates should be comfortable troubleshooting GPU faults, performing component swaps, and restoring systems to operational health quickly and accurately. Strong problem‑solving skills, attention to detail, and the ability to collaborate effectively with other site teams are essential.

The role also includes participation in an on‑call rotation to support critical 24/7 operations.

Responsibilities:

• Responsible for verifying and implementing the detailed technical design solution to the problem as identified by the Project/Technical Manager.

• Often responsible for providing a detailed technical design for enterprise solutions.

• Is often the Principal Consultant who analyzes and develops enterprise technology solutions.

• Regularly leads in the technical assessment and delivery of specific technical solutions to the customer. Provides a team structure conducive to high performance, and manages the team lifecycle stages.

• Coordinates implementation of new installations, designs, and migrations for technology solutions in one of the following work domains: networks, applications or platforms.

• Provides advanced technical consulting and advice to others on proposal efforts, solution design, system management, tuning and modification of solutions.

• Provides input to the company strategy moving forward.

• Collects and determines data from appropriate sources to assist in determining customer needs and requirements.

• Responds to requests for technical information from customers.

• Develops customer technology solutions using various industry products and technologies.

• Engages in technical problem solving across multiple technologies; often needs to develop new methods to apply to the situation.

• Owns and manages knowledge sharing within a community (e.g. team, practice, or project). Ensures team members support knowledge sharing and re-use requirements of project. Contributes significant knowledge to job family community.

• Proactively encourages membership and contributions of others to professional community and coaches others in area of expertise. Regularly produces internally published material such as knowledge briefs, service delivery kit components and modules, etc. Presents at multi-customer technology conferences.

• Creates and supports sales activities. Manages bids, or major input into the sales lifecycle. Manages activities and provides qualitative and quantitative information for successful sales. Produces complete proposals for smaller engagements within area of expertise. Actively grows the company portfolio with existing customers through new opportunities and change management.

• Hardware Deployment: Rack, stack, and cable high-density NVIDIA GPU servers (DGX/HGX) and InfiniBand/Ethernet switches.

• Networking & Cabling: Perform physical cabling, fiber management, and labeling according to strict point-to-point (P2P) standards for Infiniband fabrics.

• System Maintenance: Conduct routine maintenance, firmware updates, and hardware upgrades for AI compute nodes.

• Troubleshooting: Diagnose and resolve complex hardware, software, and networking issues in Linux environments.

• RDMA Validation: Verify high-speed networ