5 дней назад
Global Enterprise AI Sales Engineer (NVIDIA AI Data Platform)
250 000 - 300 000$
Мэтч & Сопровод
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Описание вакансии
Текст:
TL;DR
Global Enterprise AI Sales Engineer (NVIDIA AI Data Platform) (AI/NVIDIA): Driving technical adoption of the Hammerspace NVIDIA AI Data Platform through enterprise infrastructure deals, POCs, and architectures connecting NVIDIA systems to distributed data environments with an accent on GPU infrastructure, parallel file systems, and AI data pipelines. Focus on executing end-to-end POCs, enabling partner and field SEs, troubleshooting hardware/software boundaries, and escalating compatibility, kernel, and performance issues.
Location: Bay Area, California, United States; on-site presence is required when partners, customers, or joint sessions need it.
Salary: $250,000–$300,000 OTE base salary range
Company
builds a high-performance data foundation for AI by combining a global parallel file system with intelligent data orchestration across sites, clouds, and storage systems.
What you will do
- Own the technical motion for NVIDIA-path enterprise deals, including discovery, architecture, POC design and execution, and technical close.
- Design architectures connecting NVIDIA systems, GPU clusters, and the data path.
- Enable field SEs and NVIDIA partner SEs to execute routine POCs without Field CTO involvement.
- Collaborate directly with NVIDIA SEs, architects, customer architects, and partner teams.
- Triage hardware, software, and commercial issues and escalate architecture, compatibility, kernel, and performance blockers.
- Deliver reusable technical presentations, workshops, and hands-on enablement while reporting stuck POCs and coverage gaps.
Requirements
- Proven experience owning technical NVIDIA-path infrastructure deals involving GPU systems, partner SEs, and joint POCs.
- At least five years of experience in pre-sales, solutions engineering, or comparable technical sales roles in storage, data management, or accelerated computing infrastructure.
- Ability to run POCs end to end and teach partner or field SEs to run them.
- Working knowledge of Linux, NFS, pNFS or parallel file environments, and data platforms attached to GPU clusters.
- Must be based in the Bay Area and able to communicate clearly with partners, customers, and field teams.
Nice to have
- Experience with the NVIDIA partner motion at a storage, data, or systems company.
- Knowledge of NVIDIA networking and software components, including drivers, runtimes, fabrics, and scheduling.
- Experience with AI and GPU training or inference pipelines and AWS, Azure, or Google Cloud.
- Knowledge of NAS, SAN, object, and parallel file storage architectures, containers, and Kubernetes.
Culture & Benefits
- Health plans covering medical, dental, vision, life, and disability.
- 401(k) plans and flexible time off.
- Equal opportunity employment and consideration consistent with applicable hiring regulations.
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