Solutions Architect - Full Stack AI

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

SCRAPED

Used Tools & Technologies

Not specified

Required Skills & Competences ?

Hiring @ 3 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 who are building solutions with our newest AI technology. At NVIDIA, our solutions architects work across different teams and enjoy helping customers with the latest Accelerated Computing and Deep Learning software and hardware platforms. You will become a trusted technical advisor with customers and work on projects and proofs-of-concept focused on Generative AI and Large Language Models. This role involves working in an interdisciplinary team using NVIDIA technologies and may require some travel to conferences and customer sites.

Responsibilities

  • Collaborate with NVIDIA's OEM partners to define, document, and develop enterprise solutions that meet customer technical requirements and address business needs.
  • Build custom product demonstrations and proofs-of-concept (POCs) for solutions addressing customers' critical 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.
  • Travel to conferences and customer sites 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 solution 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 interpersonal skills, including 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 such as NVIDIA NIM, NVIDIA NeMo Framework, Triton Inference Server, TensorRT, and TensorRT-LLM.
  • Experience with large-scale cluster bring-up and operation.
  • Excellent C/C++ programming skills, including debugging, profiling, code optimization, performance analysis, and test design.
  • Familiarity with parallel programming and distributed computing platforms.
  • Experience building large-scale hardware solutions for enterprise computing workloads.

Compensation and Benefits

  • Base salary range (dependent on location, experience, and level):
    • Level 4: 184,000 USD - 287,500 USD
    • Level 5: 224,000 USD - 356,500 USD
  • Eligible for equity and benefits. See NVIDIA benefits for details.
  • Applications for this job will be accepted at least until October 19, 2025.

Additional Information

  • Employer: NVIDIA. NVIDIA is an equal opportunity employer and values diversity in hiring and promotion practices.
  • Employment type: Full time.