Solutions Architect, AI Networking and Storage

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

SCRAPED

Used Tools & Technologies

Not specified

Required Skills & Competences ?

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

Details

NVIDIA is seeking outstanding Solutions Architects to assist and support customers building solutions with the newest AI technology. You will become a trusted technical advisor and work on projects and proof-of-concepts focused on Generative AI and Large Language Models. This role involves working across teams on Accelerated Computing and Deep Learning software and hardware platforms, helping OEM partners define and deliver AI storage and networking solutions.

Responsibilities

  • Collaborate with NVIDIA 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) for solutions addressing customer business needs.
  • Train channel technologists on joint AI solution offerings from NVIDIA and OEM partners.
  • Serve as a key member of the OEM team as a technical authority on NVIDIA products.
  • Participate in conference and customer travel as required.

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, networking, storage, and GPU solutions.
  • Expert knowledge of 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.
  • Excellent interpersonal skills and the ability to explain complex technical topics to non-experts.
  • Desire to be involved in multiple diverse and creative projects.

Ways to Stand Out

  • Experience with NVIDIA GPUs and NVIDIA software libraries and frameworks such as NVIDIA NIM, NVIDIA NeMo Framework, Triton Inference Server, TensorRT, and TensorRT-LLM.
  • Demonstrated experience building large-scale hardware solutions for enterprise computing workloads.

Compensation & Benefits

  • Base salary ranges by level:
    • Level 4: 184,000 USD - 287,500 USD (base)
    • Level 5: 224,000 USD - 356,500 USD (base)
  • You will also be eligible for equity and benefits.

Additional Information

  • Location: Austin, Texas, United States.
  • Employment type: Full time.
  • 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.