Desirable Experience
- Networking: Experience with high-speed interconnects (InfiniBand NDR/HDR, RoCEv2) and debugging connectivity issues.
- Containerisation: Experience with Docker and Kubernetes (specifically the NVIDIA GPU Operator).
- Cisco Integration: Familiarity with Cisco UCS or Cisco Nexus configurations in an AI context.
Certifications
Highly Desirable:
- NVIDIA-Certified Associate: AI Infrastructure and Operations (NCA-AIIO)
- NVIDIA-Certified Professional: AI Infrastructure (NCP-AII)
- Red Hat Certified System Administrator (RHCSA)
Success Metrics (KPIs)
- Deployment Velocity: Achieving <24 hour turnaround from "Rack Handover" to "OS Provisioned" for assigned nodes.
- Validation Accuracy: 100% of handed-over nodes pass the "Golden Config" validation script (zero "Dead-on-Arrival" nodes handed to the client).
- Ticket Efficiency: Consistently meeting SLAs for L2 support tickets.
#LI-RB1
Preferred QualificationsAbout the Role
The HPC Engineer - Compute acts as the primary execution engine for the physical and logical lifecycle of high-performance GPU compute fleets. While the Domain Architect designs the "Gold Standard" and the Squad Lead directs the workflow, you are the "Builder" responsible for the hands-on configuration and validation of the infrastructure. You are a "doer" who is as comfortable flashing firmware on an NVIDIA B300 in the CLI as you are debugging a failed Ansible playbook.
As a System Integrator, we do not simply manage a static cloud; we design and deliver bespoke, high-scale AI factories for the world's leading enterprises. In this role, you will move beyond standard server administration to execute the repeatable, scalable, and automated deployment of NVIDIA SuperPOD, NVIDIA BasePOD, and Cisco AI Factory environments.
In this role, you will operate with a 100% focus on Delivery, executing the Low-Level Designs (LLD) assigned by your Squad Lead. You will own the "Build" phase in the critical "Compute-Network-Storage" triad, ensuring our clients receive defect-free, validated infrastructure.
Key Responsibilities
- Build & Provisioning (Execution)
- Cluster Assembly: Execute the automated provisioning of bare-metal AI nodes (DGX H100/Blackwell, HGX, IGX, MGX, NVL72) using NVIDIA Base Command Manager (BCM) (formerly Bright Cluster Manager).
- Infrastructure as Code (IaC) Execution: Run and maintain the Ansible playbooks required to configure Operating Systems (RHEL/Ubuntu), inject user authentication (LDAP/AD), and mount high-performance parallel file systems.
- Hardware Lifecycle: Perform complex firmware upgrades (SBIOS, BMC, GPU VBIOS, NVSwitch) across massive clusters without disrupting operations, ensuring strict adherence to the NVIDIA Firmware recipe.
- Network Integration: Configure compute-side networking (IPoIB, Netplan) to align with the Ethernet or InfiniBand fabric specifications provided by the Network Domain.
- Validation & Testing
- Performance Benchmarking: Execute and log standard acceptance tests, including HPL (High-Performance Linpack) and NCCL-tests, to verify node performance against the "Gold Standard" benchmarks.
- Health Checks: Run "Burn-in" scripts on new hardware to identify "Dead on Arrival" components (e.g., faulty GPU memory, loose NVLink cables, Xid errors) before client handover.
- Test Reporting: Generate "As-Built" validation reports that the Field Solutions Engineers (FSEs) use for final client sign-off.
- Operations & Support
- Ticket Resolution: Handle L2 support tickets escalated from L1, such as "Stuck Slurm Jobs," "GPU falling off the bus," "ECC Errors," or "Node not draining."
- Routine Maintenance: Execute scheduled maintenance windows for kernel patching, driver updates, and security hardening.
Technical Competencies
Essential Skills
HPC & AI Infrastructure:
- Cluster Provisioning: Proficiency with NVIDIA Base Command Manager (BCM) for bare-metal provisioning and image management.
- Hardware Architecture: Deep understanding of NVIDIA DGX/HGX/NVL72/MGX architectures, including PCIe topology, NVLink/NVSwitch connectivity, and GPU memory hierarchy.
- Workload Management: ability to troubleshoot basic Slurm issues (job dependencies, partition misconfigurations, node draining).
Linux & Automation:
- Linux Administration: Solid mastery of RHEL/Ubuntu internals, including systemd, kernel modules, and package management.
- Automation: Ability to read and execute Ansible playbooks and write basic Python/Bash scripts for task automation.
- Version Control: Familiarity with Git workflows (pulling code, creating branches, committing config changes).
Skills Required
- Proficiency with NVIDIA Base Command Manager for bare-metal provisioning and image management
- Understanding of NVIDIA DGX, HGX, NVL72, and MGX architectures, including PCIe, NVLink, NVSwitch, and GPU memory hierarchy
- Ability to troubleshoot basic Slurm issues, including job dependencies, partition configuration, and node draining
- Strong Linux administration skills across RHEL and Ubuntu, including systemd, kernel modules, and package management
- Ability to read and execute Ansible playbooks
- Ability to write basic Python and Bash automation scripts
- Familiarity with Git workflows, including branches, commits, and configuration changes
- Experience with InfiniBand NDR/HDR, RoCEv2, and connectivity troubleshooting
- Experience with Docker and Kubernetes, including the NVIDIA GPU Operator
- Familiarity with Cisco UCS or Cisco Nexus configurations in AI environments
- NVIDIA-Certified Associate: AI Infrastructure and Operations certification
- NVIDIA-Certified Professional: AI Infrastructure certification
- Red Hat Certified System Administrator certification
World Wide Technology Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about World Wide Technology and has not been reviewed or approved by World Wide Technology.
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Healthcare Strength — Health insurance is considered excellent and affordable, with bundled medical, dental, and vision coverage that reduces out-of-pocket costs. Wellness programs and an Employee Assistance Program further enhance access to care.
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Leave & Time Off Breadth — Generous paid time off grows with tenure, alongside paid sick days and holidays. Parental and military leave are also provided.
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Retirement Support — Financial benefits include profit sharing and a 401(k) with company matching, complemented by life and disability insurance and tuition reimbursement. These elements strengthen total rewards beyond base salary.
World Wide Technology Insights
What We Do
World Wide Technology is a systems integrator, provides information technology and supply chain solutions. Fueled by creativity and ideation, World Wide Technology strives to accelerate our growth and nurture future innovation. From our world class culture, to our generous benefits, to developing cutting edge technology solutions, WWT constantly works towards its mission of creating a profitable growth company that is a great place to work. We encourage our employees to embrace collaboration, get creative and think outside the box when it comes to delivering some of the most advanced technology solutions for our customers. At a glance, WWT was founded in 1990 in St. Louis, Missouri. We employ over 9,000 individuals and closed nearly $17 Billion in revenue. We have an inclusive culture and believe our core values are the key to company and employee success. WWT is proud to announce that it has been named on the FORTUNE "100 Best Places to Work For®" list for the 12th consecutive year!
Why Work With Us
Our extensive partnership with best in class technology companies, coupled with our strong culture allow for world class delivery of transformative business solutions driven by IT.
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