Full-Time Infrastructure/GPU Engineer
Cognizant is hiring a remote Full-Time Infrastructure/GPU Engineer. The career level for this job opening is Experienced and is accepting USA based applicants remotely. Read complete job description before applying.
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Cognizant
Job Title
Infrastructure/GPU Engineer
Posted
Career Level
Full-Time
Career Level
Experienced
Locations Accepted
USA
Salary
YEAR $99000 - $116000
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Job Details
Cognizant is seeking a highly skilled hands-on Infrastructure Engineer with proven experience in the physical and technical deployment of AI-ready environments optimized for AI and machine learning workloads. This role focuses on NVIDIA DGX or similar systems, GPU-accelerated compute clusters, high-speed networking, and scalable storage solutions. The ideal candidate will have deep expertise in infrastructure design, deployment, workload orchestration, and performance optimization in enterprise environments.
Key Responsibilities:
- System Design & Deployment: Help in rightsizing GPU investment, Architect and deploy NVIDIA DGX systems and GPU-based compute clusters. Design and implement scalable parallel filesystems. Integrate high-speed interconnects using InfiniBand, RoCE, and RDMA. Collaborate on rack planning and airflow optimization.
- Cluster & Infrastructure Management: Configure and manage Slurm Workload Manager for job scheduling. Deploy and maintain cluster orchestration tools. Automate provisioning using PXE boot, Terraform, Redfish, and Kubernetes. Perform firmware updates, BIOS/IPMI/BMC configuration, and OS provisioning. Knowledge of Run.ai, ClearML or similar platform
- Networking & Performance Optimization: Design and validate network topologies including IPMI, internal/external networks, and InfiniBand fabrics. Optimize RDMA and RoCE configurations for low-latency, high-throughput data transfers. Conduct performance benchmarking using GPU-Burn, NCCL, and NVSM.
- Monitoring & Troubleshooting: Implement system health checks and diagnostics across compute, storage, and network layers. Troubleshoot hardware/software issues and ensure reliable infrastructure operation.
Required Skills & Qualifications:
- Technical Expertise: Deep understanding of NVIDIA DGX architecture, CUDA, and GPU compute. Strong Linux system administration and shell scripting skills. Experience with Slurm, parallel filesystems, and high-speed networking. Familiarity with containerization, orchestration, and automation tools.
Preferred Qualifications:
- Experience with BBCM, and DGX BasePOD/SuperPOD configuration. Certifications by Nvidia or equivalent OEM.
FAQs
What is the last date for applying to the job?
The deadline to apply for Full-Time Infrastructure/GPU Engineer at Cognizant is
17th of November 2025
. We consider jobs older than one month to have expired.
Which countries are accepted for this remote job?
This job accepts [
USA
] applicants. .
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