Solutions Architect, AI Networking and Storage

at Nvidia
📍 Austin, United States
USD 184,000-356,500 per year
MIDDLE
✅ On-site

SCRAPED

Used Tools & Technologies

Not specified

Required Skills & Competences ?

Mathematics @ 3 Networking @ 3 Parallel Programming @ 2 Debugging @ 3 LLM @ 3 GPU @ 6

Details

NVIDIA is seeking outstanding Solutions Architects to assist and support customers who are building solutions with NVIDIA's newest AI technology. You will become a trusted technical advisor working on projects and proof-of-concepts focused on Generative AI and Large Language Models, and will collaborate with OEM partners to define, document, and develop enterprise AI storage and networking solutions. The role requires experience with Generative AI, LLMs, Deep Learning, GPU technologies, networking, storage, CPU architectures, cluster bring-up/operation, and strong C/C++ and performance skills. Some travel to conferences and customers may be required.

Responsibilities

  • Collaborate with NVIDIA's OEM partners to define, document, and develop enterprise solutions that meet customer technical requirements and business needs for AI storage and networking solutions.
  • Build custom product demonstrations and proof-of-concepts (POCs) addressing customer business needs.
  • Train channel technologists on joint AI solution offerings from NVIDIA and OEM partners.
  • Act as a key member of the OEM team and serve as a technical authority on NVIDIA products.
  • Participate in multiple diverse and creative projects; travel to customers and conferences as needed.

Requirements

  • BS, MS, or PhD in Computer Science, Electrical/Computer Engineering, Physics, Mathematics, other Engineering or related fields (or equivalent experience).
  • 8+ years proven experience as a solutions architect or in a technical presales role.
  • Experience with Intel x86 and ARM architectures.
  • Experience with networking, storage, and GPU solutions.
  • Expert knowledge of the theory and practice of AI workloads and hardware deployments.
  • Excellent C/C++ programming skills, including debugging, profiling, code optimization, performance analysis, and test design.
  • Familiarity with parallel programming and distributed computing platforms.
  • Experience with large-scale cluster bring-up and operation and building large-scale hardware solutions for enterprise computing workloads.
  • Strong interpersonal skills and ability to explain complex technical topics to non-experts.

Ways to stand out

  • Experience with NVIDIA GPUs and NVIDIA software libraries and tools such as NVIDIA NIM, NVIDIA NeMo Framework, Triton Inference Server, TensorRT, and TensorRT-LLM.

Benefits

  • Base salary determined based on location, experience, and pay of similar roles. Base salary ranges provided:
    • Level 4: 184,000 USD - 287,500 USD
    • Level 5: 224,000 USD - 356,500 USD
  • Eligibility for equity and company benefits.

Other details

  • Applications for this job will be accepted at least until October 17, 2025.
  • NVIDIA is an equal opportunity employer and is committed to fostering a diverse work environment.