1 month ago
Gurgaon, IndiaSenior
Responsibilities
- Design and implement HPC and AI infrastructure solutions and align architecture with deployment roadmaps.
- Deploy, configure, and manage XPU-based clusters using schedulers, virtual machines, Kubernetes, Slurm, and container platforms.
- Optimize cluster performance, scalability, energy efficiency, cost efficiency, networking, and workload resiliency across on-premises, cloud, and hybrid environments.
- Integrate AI and HPC platforms with existing IT systems, data pipelines, security frameworks, storage, and MLOps platforms.
- Monitor, troubleshoot, and tune infrastructure to provide high availability and low-latency networking.
- Create and maintain architecture diagrams, configuration baselines, documentation, and operational runbooks.
- Provide technical guidance and support for HPC and AI workloads, large-scale models, and simulations.
Requirements
- At least 5 years of experience is required.
- 15 years of full-time education is required.
- Experience developing enterprise-wide HPC strategies and architecting next-generation supercomputing environments across the full stack.
- Advanced Linux administration and architecture experience, including CUDA/GPU environments with NVIDIA H100 and A100 systems.
- Experience designing HPC clusters with Slurm or PBS Pro and using MPI, OpenMP, CUDA, and SYCL.
- Experience with NVIDIA DGX SuperPOD, BCM, InfiniBand NDR 400Gb/s, RoCEv2, Kubeflow, Singularity, Kubernetes, Ansible, Terraform, UFM, Run:AI, MLflow, and Azure ML integration.
- Hands-on experience designing, deploying, and managing HPC and AI infrastructure across on-premises, cloud, and hybrid environments in at least two market segments.
- Knowledge of GPUs, XPUs, DPUs, InfiniBand, Ethernet, SONiC, NVMe-oF, Lustre, GPFS, BeeGFS, VAST, DDN, and Weka.
- Experience with Slurm, Run:AI, Kubernetes, Docker, performance monitoring, and observability frameworks.
- Experience with AWS, Azure, GCP, VMware, Nutanix, Python, Terraform, and Ansible for infrastructure automation and optimization.
- Preferred experience managing deployments of more than 1,000 GPUs for HPC and AI workloads.
- Preferred experience with NVIDIA CUDA, Dynamo, and AMD ROCm.
- Preferred knowledge of TensorFlow, PyTorch, JAX, Jupyter notebooks, Google Colab, AgenticAI, and workflow automation technologies.
- Cloud, NVIDIA infrastructure, data science, or related industry certifications are a plus.
- Strong troubleshooting, problem-solving, communication, and collaboration skills are preferred.
Tech Stack
AnsibleAWSAzureDockerGoogle Cloud PlatformJupyter NotebookKubernetesLinuxMLflowPythonPyTorchTensorFlowTerraform
Categories
About Accenture
Accenture is a global professional services firm providing management consulting, systems integration and technology, cybersecurity, and business process outsourcing for enterprises and governments. It operates a services-driven model delivering projects and managed services, often with major cloud and software partners, across industries worldwide. Headquartered in Dublin and publicly traded on the NYSE (ACN), it originated as Andersen Consulting and adopted the Accenture name in 2001.