DDN logo
DDN

World’s leading Data Intelligence Platform supercharging over 500,000 GPUs across all data workloads

Platform Support Architect

Support EngineerSupport EngineerFull TimeRemoteMid LevelTeam 1,001-5,000Since 1998H1B SponsorCompany SiteLinkedIn

Location

United States

Posted

4 days ago

Salary

0

Seniority

Mid Level

Job Description

Platform Support Architect

DDN

Role Description DDN is expanding our Enterprise and Sovereign AI Solution offerings, for example Hyperpod - a turnkey NVIDIA AI Data Platform built on DDN Infinia storage, NVIDIA AI Enterprise (NVAIE), and Supermicro reference hardware, optimized for inference and RAG workloads. Our support organization is deep on storage (Infinia, EXAScaler); we are now hiring an AI platform specialist to lead supportability and enablement for the AI side of the stack. - Act as the primary NVIDIA AI Enterprise and vector database solutions expert for HyperPOD customer environments. - Own complex end-to-end triage across GPU, NVAIE services, vector DB, Kubernetes, Docker, high-speed networking, and Infinia storage. - Diagnose and resolve performance bottlenecks in RAG and agentic AI workflows. - Collect and interpret logs and telemetry across Linux, containers, Kubernetes, GPU stack, vector DB, and storage/networking. - Author and maintain support triage runbooks and checklists for HyperPOD. - Define and validate unified diagnostics bundles that capture the right logs/configs/metrics. - Collaborate with observability and tools teams to shape dashboards that surface platform health and RAG/service-level metrics. - Build hands-on labs and PoCs that mirror customer RAG and agentic AI use cases on HyperPOD. - Develop reusable technical assets to accelerate time-to-value for customers, PS, and Support. - Provide structured feedback from early field cases and PoCs into Product Management and Engineering. - Collaborate closely with NVIDIA solutions architects, OEM architects, PS, and Support Innovation. Qualifications - 5+ years in Linux-based infrastructure roles (SRE, MLOps, platform engineering, or L2/L3 support) supporting production systems; 8+ years total technical experience preferred. - Strong hands-on experience with containers and Kubernetes. - Demonstrated experience operating GPU-accelerated workloads in production. - Practical experience with AI storage and networking for HPC/AI clusters. - Experience with one or more vector databases (Milvus, Qdrant, Pinecone, etc.). - Solid understanding of RAG and Generative AI workflows. - Familiarity with NVIDIA AI Enterprise components and toolchain. - Experience designing, operating, or supporting MLOps / GenAI pipelines. - Strong diagnostic skills across Linux, containers, Kubernetes, GPUs, storage, and networking. - Track record of building reusable technical assets that improve support readiness. - Excellent communication skills. Requirements - Prior experience with scale-out storage in GPU/AI environments. - Direct experience crafting and operating RDMA-accelerated HPC/AI clusters at scale. - Hands-on work with NVIDIA reference blueprints or similar enterprise AI architectures. - Familiarity with AI observability and responsible AI practices. - Experience with observability stacks tuned for AI workloads. Benefits - Competitive salary and performance-based bonuses. - Comprehensive health, dental, and vision insurance. - Retirement savings plan with company match. - Flexible working hours and remote work options. - Professional development opportunities. Company Description DDN is a leading provider of AI data solutions, focused on delivering high-performance storage and networking solutions for enterprise and sovereign AI applications.

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