Description

One TEKsystems global clients are seeking a highly skilled HPC / GPU Infrastructure Engineer with deep expertise in NVIDIA GPU environments, PowerEdge servers, and Linux-based high-performance computing systems. This role will focus on deployment, optimization, and lifecycle management of GPU clusters in large-scale environments, supporting advanced workloads including GenAI and HPC applications. Key Responsibilities Deploy, configure, and validate GPU clusters using NVIDIA Base Command Manager Perform multi-node testing, benchmarking, and performance tuning Execute cluster-level code upgrades aligned with approved versions and compatibility standards Manage and maintain server infrastructure including: iDRAC configuration, monitoring, and troubleshooting Firmware updates (BIOS, NICs, storage, and system components) Utilize Redfish APIs for automation, monitoring, and system management Configure and manage NVIDIA BlueField DPUs Support GPU observability and performance profiling Ensure system reliability and performance in Linux-based parallel computing environments Collaborate with customers and internal stakeholders to deliver technical solutions Required Qualifications Hands-on experience with Dell PowerEdge Rack/Tower servers Strong experience with NVIDIA GPU environments and certifications Proven expertise in: GPU deployment and cluster configuration Multi-node HPC environments Linux (Red Hat-based distributions) Red Hat Certification (RHCSA/RHCE) or 7+ years of equivalent experience Experience with GenAI/HPC networking, including InfiniBand and/or RoCE Strong proficiency with benchmarking tools: HPL, STREAM, NCCL, RCCL, MxP, OSU Microbenchmarks Excellent customer-facing and communication skills Preferred Qualifications Experience with PowerEdge XE servers Familiarity with NVIDIA Quantum (QR) switches NVIDIA certifications (e.g., NCA, NCE, DGX) Experience with: NVIDIA UFM, InfiniBand, Spectrum-X fabrics Hybrid cloud or GPU cloud environments GPU monitoring and performance analysis tools Bachelor’s degree in Computer Science, Engineering, or related field Key Skills HPC infrastructure design and operations GPU cluster deployment and optimization Linux system administration at scale Network fabrics (InfiniBand, RoCE) Automation and API-driven management (Redfish) Strong troubleshooting and analytical skills

Skills

Data center, nvidia, Linux

Top Skills Details

Data center,nvidia,Linux

Additional Skills & Qualifications

this role must sit in Mackenzie BC

Experience Level

Expert Level

Job Type & Location

This is a Contract position based out of Mackenzie, BC.

Pay and Benefits

The pay range for this position is $90.00 - $110.00/hr.

Workplace Type

This is a fully onsite position in Mackenzie,BC.

À propos de TEKsystems et TEKsystems Global Services

Nous sommes un fournisseur de services aux entreprises et de technologies. Nous accélérons la transformation de nos clients. Notre compétence en stratégie, conception, exécution et opérations libère la valeur de l’entreprise par un éventail de solutions. Nous sommes une équipe de 80 000 personnes qui collaborent avec plus de 60 000 clients, notamment 80 % du Fortune 500 en Amérique du Nord, Europe et Asie, qui collaborent avec nous dans le cadre de nos capacités full-stack et notre rythme. Nous sommes des penseurs stratégiques, des collaborateurs pratiques qui aident les clients à exploiter le changement et maîtriser le dynamisme de la technologie. Nous bâtissons le futur en livrant les résultats et en créant un impact positif dans nos communautés mondiales. TEKsystems et TEKsystems Global Services sont des entreprises d’Allegis Group. Découvrez d’autres informations à TEKsystems.com.

Ordonnance sur l’égalité des chances de San Francisco: Conformément à l’Ordonnance sur l’égalité des chances de San Francisco, pour tous les postes situés dans la ville et le comté de San Francisco, nous examinerons les candidatures des personnes qualifiées ayant un casier judiciaire ou des antécédents criminels.

Utilisation de l’intelligence artificielle (IA): Nous pouvons utiliser l’intelligence artificielle (IA) pour soutenir certaines étapes de notre processus d’embauche, notamment la recherche, la présélection et l’évaluation des candidatures. L’IA aide à analyser les candidatures et les qualifications, mais les décisions finales sont prises par notre équipe de recrutement. En soumettant votre candidature, vous reconnaissez et acceptez que celle-ci puisse être examinée à l’aide d’outils d’IA.

About TEKsystems and TEKsystems Global Services

We’re a leading provider of business and technology services. We accelerate business transformation for our customers. Our expertise in strategy, design, execution and operations unlocks business value through a range of solutions. We’re a team of 80,000 strong, working with over 6,000 customers, including 80% of the Fortune 500 across North America, Europe and Asia, who partner with us for our scale, full-stack capabilities and speed. We’re strategic thinkers, hands-on collaborators, helping customers capitalize on change and master the momentum of technology. We’re building tomorrow by delivering business outcomes and making positive impacts in our global communities. TEKsystems and TEKsystems Global Services are Allegis Group companies. Learn more at TEKsystems.com.

The company is an equal opportunity employer and will consider all applications without regard to race, sex, age, color, religion, national origin, veteran status, disability, sexual orientation, gender identity, genetic information or any characteristic protected by law.

San Francisco Fair Chance Ordinance: Pursuant to the San Francisco Fair Chance Ordinance, for all positions located in the city and county of San Francisco, we will consider for employment qualified applicants with arrest and conviction records.

Use of Artificial Intelligence (AI): We may use Artificial Intelligence (AI) to support parts of our hiring process, including sourcing, screening, and evaluating candidates. AI helps assess applications and qualifications, but final decisions are made by our hiring team. By applying, you acknowledge and agree that your application may be reviewed using AI tools.econnaissez et acceptez que celle-ci puisse être examinée à l’aide d’outils d’IA.

Data Center Engineer