Accenture · 2 months ago
AI & HPC Infrastructure Engineer
Accenture is a leading global professional services company that helps organizations build their digital core and optimize operations. The AI & HPC Infrastructure Engineer will design and implement infrastructure solutions for AI and High-Performance Computing, ensuring performance and scalability while providing technical guidance to users.
Business Information SystemsConstructionConsultingInformation ServicesInformation TechnologyInfrastructureManagement ConsultingOutsourcing
Responsibilities
Design and implement HPC and AI infrastructure solutions, aligning system architecture and deployment roadmaps to industry-specific performance and scalability needs
Deploy, configure, and manage XPU-based clusters (CPU/GPU/accelerators) using schedulers, VM/K8s orchestration platforms, Slurm, and containerized platforms in scalable designs to provide Metal as a Service (MaaS), GPUaaS, AIaaS, and other offerings
Optimize cluster performance, scalability, energy, and cost efficiency across on-premises, cloud, and hybrid environments
Integrate AI and HPC platforms with existing IT systems, data pipelines, and security frameworks
Monitor, troubleshoot, and tune infrastructure to ensure high availability, low-latency networking, and workload resiliency
Develop and maintain documentation including architecture diagrams, configuration baselines, and operational runbooks
Provide technical guidance and support to users, enabling efficient execution of HPC/AI workloads, large-scale models, and simulations
Qualification
Required
Minimum 4+ year of hands-on experience designing, deploying, and managing HPC and AI infrastructure across on-premises, cloud, and hybrid environments in 2 or more segments: hyperscaler, neocloud, large Enterprise, Telco/Mobile, supporting key industries such as Financial Services, Life Sciences, Manufacturing, and Retail
Minimum 4+ years' experience of accelerated computing architectures (GPUs, XPUs, DPUs), high-performance fabrics (InfiniBand, Ethernet), SONiC, networking, and modern storage/data platforms (e.g. NVMe-oF, Lustre, GPFS, BeeGFS, VAST, DDN, Weka) to build robust solutions
Minimum 4+ year experience with cluster management and orchestration (e.g. Slurm, Run:ai, Kubernetes, Docker), real-time performance monitoring, and observability frameworks
Minimum 4+ years' experience with cloud and virtualization platforms (e.g. AWS, Azure, GCP, VMware, Nutanix) and expertise in automation and optimization using scripting (Python, AI tools) with foundational Infrastructure-as-Code tools such as Terraform and Ansible
Minimum 4+ year experience implementing MLOps and DevSecOps frameworks to enable secure, automated, and reproducible workflows
Bachelor's degree or equivalent (minimum 12 years) work experience. (If Associate's Degree, must have minimum 6 years work experience)
Preferred
Experience managing the deployment of 1,000+ GPU clusters for HPC and AI workloads with various infrastructure services enabled
Experience with GPU computing libraries and accelerators (e.g., NVIDIA CUDA, Dynamo, AMD ROCm)
Experience with AI and HPC Networking (e.g., RoCE, InfiniBand, muti-planar/multi-rail designs, platform buffer architectures)
Knowledge of Machine Learning and AI frameworks (e.g., TensorFlow, PyTorch, JAX), Jupyter notebooks / Google Colab environments
Experience with HPC & AI workload management and optimization techniques
Familiarity with DevOps practices and tools (e.g., Ansible, Terraform) for infrastructure automation
Industry certifications in NVIDIA infrastructure, public cloud providers, Data Science, etc. are a plus
Company
Accenture
Accenture is a professional services company that provides solutions in strategy, consulting, digital, technology and operations.
Funding
Current Stage
Public CompanyTotal Funding
$6MKey Investors
Youth Business International
2018-10-01Grant· $6M
2001-07-27IPO
Leadership Team
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