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Lead Solution Architect role at Hewlett Packard Enterprise focusing on designing and delivering infrastructure solutions for AI/ML and HPC workloads. The position involves working with Kubernetes platforms, HPC clusters, and enterprise infrastructure to help customers connect, protect, analyze, and act on their data from edge to cloud.
Job Responsibility:
Design and scope multiple deliverables across multiple technologies
Lead team in delivery of multiple deliverables
Develop solutions that enhance availability, performance, maintainability and agility of customer's enterprise
Contribute to design and application of new tools
Re-use existing experience to develop new solutions
Understand architectural dependencies of technologies in customer's IT environment
Advise, integrate, and accelerate customers' outcomes from digital transformation
Requirements:
8+ years of professional experience
Bachelor of Arts/Science or equivalent degree in computer science or related area of study
without a degree, 11+ years of relevant professional experience
Proficiency in container orchestration platforms (Red Hat OpenShift, SUSE Rancher, CNCF Kubernetes)
Experience with GPU-accelerated workloads and tools like NVIDIA GPU Operator and DCGM
Ability to integrate Kubernetes with AI/ML workloads and GPU infrastructure in hybrid or private cloud environments
Experience architecting HPC clusters including GPU/compute nodes and HPC storage technologies (Lustre, WEKA, Parallel Filesystems)
Understanding of high-speed networking (InfiniBand, Mellanox, RoCE)
Experience with HPC cluster management tools (HPE Cluster Management, NVIDIA Base Command Manager)
Familiarity with HPC workload schedulers (Slurm, Altair PBS Pro)
Strong background in Linux system administration (RHEL/SLES/Ubuntu) and virtualization (KVM, OpenShift Virtualization)
Primary focus on HPE servers and storage
experience with Dell, Lenovo, Supermicro, NVIDIA DGX/HGX platforms
Solid understanding of compute, storage, and networking fundamentals
Experience deploying and supporting NVIDIA AI Enterprise and related AI/ML frameworks
Familiarity with DevOps/MLOps practices (CI/CD, Infrastructure as Code, cloud-native security)
Demonstrated success in infrastructure project delivery for AI/ML and HPC workloads
Ability to collaborate with cross-functional teams and align technical solutions with business goals
Nice to have:
Accountability
Active Learning
Active Listening
Business Growth
Client Expectations Management
Coaching
Creativity
Critical Thinking
Cross-Functional Teamwork
Customer Centric Solutions
Customer Relationship Management
Design Thinking
Empathy
Follow-Through
Growth Mindset
Intellectual Curiosity
Long Term Planning
Managing Ambiguity
Process Improvements
Product Services
Relationship Building
What we offer:
Health & Wellbeing benefits
Personal & Professional Development programs
Comprehensive suite of benefits supporting physical, financial and emotional wellbeing
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