4 дня назад
AI Solutions Engineer
100 000 - 250 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
AI Solutions Engineer (AI Infrastructure/NVIDIA DGX): Designing and positioning GPU-accelerated AI data center solutions for training, inference, and HPC workloads with an accent on infrastructure architecture, OEM platforms, and performance optimization. Focus on configuring servers, storage, networking, power, and cooling; creating BOMs; and delivering technical presales guidance to enterprise customers.
Location: Remote from the United States; home office in California. Travel to , partner, and customer events is required.
Salary: $100,000–$250,000 annual pay range, including base salary and bonus.
Company
is a global provider of IT solutions and services supporting organizations with technology infrastructure, cloud, and related services.
What you will do
- Act as the primary AI infrastructure subject matter expert for NVIDIA DGX and compatible OEM platforms.
- Assess customer requirements through discovery sessions, workshops, and technical consultations.
- Design scalable AI data center solutions covering servers, GPUs, storage, networking, power, and cooling.
- Create accurate bills of materials and perform cost, sizing, and performance analysis.
- Deliver technical presentations, proofs of concept, demonstrations, and product training.
- Support sales cycles through customer meetings, RFPs/RFIs, technical consultations, and solution pipeline development.
Requirements
- 5+ years of experience in presales engineering, solutions architecture, or technical consulting focused on data center infrastructure.
- Proven expertise with NVIDIA DGX systems, GPU technologies such as CUDA and NCCL, and AI data center platforms.
- Hands-on experience with OEM AI server platforms and AI-optimized configurations.
- Strong knowledge of data center servers, NVMe storage, InfiniBand and Ethernet networking, power, and cooling systems.
- Experience creating BOMs, sizing AI infrastructure, and evaluating cost and performance.
- Bachelor’s degree or relevant work experience, with strong communication and presentation skills.
Nice to have
- NVIDIA DGX or relevant vendor certifications.
- Experience with TensorFlow, PyTorch, or Kubernetes for AI.
- Experience with cloud-hybrid AI deployments or large-scale data center projects.
- Knowledge of AI Factory concepts, NCPs, and AI cloud providers.
Culture & Benefits
- Full-time employment with medical, vision, dental, 401(k), and flexible spending benefits.
- Continuous professional growth and leaderp opportunities.
- Commitment to diversity and inclusion.
- Work from a home office with access to required technology and facilities.
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