обновлено 6 дней назад
Senior Solutions Architect (AI, HPC & Lustre)
197 200 - 255 200$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Senior Solutions Architect (AI, HPC & Lustre): Architecting and scaling high-performance storage solutions for AI/ML, analytics, and HPC workloads across on-premises infrastructure, NeoCloud, and AI hyperscaler GPU environments with an accent on Lustre-based parallel file systems, GPU utilization, and extreme-throughput data pipelines. Focus on designing petabyte-scale architectures, optimizing I/O bottlenecks and data movement, and demonstrating performance through benchmarks, proofs of concept, and pilot environments.
Location: Remote within the United States; frequent travel across the United States is required.
Salary: USD 197,200–255,200 annual target salary range, including potential commission as part of OTE.
Company
delivers intelligent data infrastructure, unified storage, data services, and cloud-integrated solutions for enterprise workloads including AI and multicloud environments.
What you will do
- Lead advanced customer discussions on AI, analytics, HPC architectures, and data-intensive workloads.
- Assess GPU clusters, storage pipelines, performance bottlenecks, and opportunities for Lustre-based acceleration.
- Architect E-Series and Lustre storage solutions spanning on-premises infrastructure, NeoCloud, and AI hyperscaler GPU environments.
- Partner with Client Executives and Sales Engineers to align AI, HPC, and storage strategies with account plans.
- Deliver workshops, technical sessions, demonstrations, benchmarks, proofs of concept, and pilots focused on infrastructure performance and GPU efficiency.
- Develop AI infrastructure and HPC storage pipeline opportunities, contribute to RFP/RFI responses, and provide product feedback.
Requirements
- 7+ years of experience in Solutions Architecture, pre-sales, or customer-facing technical roles focused on AI/ML, HPC, or high-performance data platforms.
- Hands-on experience with parallel file systems, preferably Lustre, or other HPC storage architectures.
- Experience with GPU-accelerated workloads, NVIDIA ecosystems, distributed training environments, and AI/ML frameworks such as PyTorch or TensorFlow.
- Strong understanding of high-performance storage, block and parallel file systems, throughput optimization, I/O bottlenecks, and storage scaling.
- Knowledge of HPC compute, storage, high-speed networking, InfiniBand, RDMA, high-speed Ethernet, and distributed data pipelines.
- Exceptional communication skills and the ability to translate complex HPC and storage concepts into business value.
Nice to have
- Experience with BeeGFS, NVIDIA DGX, CUDA, DGX SuperPOD, CoreWeave, Lambda, or Crusoe environments.
Culture & Benefits
- Hybrid company environment with flexibility and in-office or in-person expectations varying by role.
- Health insurance, life insurance, retirement or pension plans, paid time off, and leave options.
- Employee stock purchase plan and/or restricted stock units, subject to regional policies.
- Collaborative culture emphasizing initiative, impact, ownership, inclusion, and work-life balance.
Hiring process
- Applications are reviewed only when submitted through the company website.
- Some hiring stages for select roles may use AI tools to support human evaluation and selection.
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