2 дня назад
Senior Sales Engineer (AI Infrastructure)
Вакансия из Hirify Global, списка международных tech-компанийДля мэтча и отклика нужен Plus
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Senior Sales Engineer (AI Infrastructure): Architecting high-performance storage solutions for AI/ML training, HPC simulations, data analytics, and GPU-accelerated workloads with an accent on scalable architectures, reliability, and customer-focused technical design. Focus on integrating storage with GPU clusters, Kubernetes, cloud platforms, and AI frameworks while conducting POCs, benchmarks, and complex technical sales cycles.
Location: Remote - District of Columbia, United States
Company
develops high-performance storage solutions for demanding AI, HPC, analytics, and enterprise workloads.
What you will do
- Partner with customers in finance, pharmaceuticals, education, and physical AI to understand complex data challenges.
- Translate technical requirements into scalable storage architectures for AI/ML training, HPC simulations, data analytics, and GPU-accelerated workloads.
- Design systems for performance, reliability, resilience, security, and data protection.
- Create bills of materials, system architectures, technical proposals, and responses to complex RFPs.
- Conduct live demonstrations, proofs of concept, and performance benchmarks.
- Integrate storage with GPU clusters, Kubernetes, cloud platforms, and AI frameworks while advising customers throughout the sales cycle.
Requirements
- Strong understanding of SAN, NAS, object storage, and parallel file systems.
- Knowledge of S3, POSIX, NFS, SMB, TCP/IP, InfiniBand, and RDMA protocols.
- Understanding of architectural patterns for reliability, resilience, security, and scale.
- For experienced candidates: 3–8+ years in pre-sales, solutions architecture, or technical consulting, with experience designing storage or infrastructure solutions.
- Hands-on experience with enterprise storage systems and the ability to manage complex technical sales cycles.
- Ability to communicate technical concepts to engineers and executives; a bachelor's degree in computer science, engineering, or a related field is expected for entry-level candidates.
Nice to have
- Experience with AI/ML infrastructure, HPC, or other high-performance workloads.
- Curiosity about massively parallel technologies such as Lustre, GPFS, and Exascaler.
- Genuine interest in AI infrastructure and its impact across industries.
Culture & Benefits
- Collaborate with Product and Engineering teams and contribute field insights to product direction.
- Mentor team members and contribute to technical thought leadership.
- Work in a fast-evolving technology environment with an ownership mindset.
- Collaborate with integrity, empathy, and a focus on translating technical complexity into business value.
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