Senior Solutions Architect, OEM AI

at Nvidia
📍 United States
USD 184,000-356,500 per year
SENIOR
✅ Remote

SCRAPED

Used Tools & Technologies

Not specified

Required Skills & Competences ?

Mathematics @ 4 Networking @ 4 Parallel Programming @ 3 Debugging @ 4 LLM @ 4 GPU @ 4

Details

NVIDIA is seeking outstanding Solutions Architects to help grow our OEM enterprise AI business. Our solutions architects work across different teams and help partners and customers with Accelerated Computing, Generative AI, and AI Factory deployments. You will become a trusted technical advisor with our OEM partners working on exciting projects and proof-of-concepts focused on Generative AI and Large Language Models (LLMs). This role requires comfort working in a multifaceted environment with experience in Generative AI, LLMs, Deep Learning, and GPU technologies.

Responsibilities

  • Collaborate with NVIDIA's OEM partners to define, document, and develop enterprise solutions meeting customer technical requirements and business needs.
  • Build custom product demonstrations and proof-of-concepts addressing critical business needs.
  • Train partners on the latest enterprise AI solution offerings from NVIDIA.
  • Act as a key technical authority on NVIDIA products within the OEM team.
  • 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 technical presales role.
  • Experience with Intel x86 and ARM architectures, networking, storage, and GPU solutions.
  • Strong knowledge of theory and practice of AI workloads and hardware deployments.
  • Excellent interpersonal skills for explaining 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 software libraries such as NVIDIA NIM, NVIDIA NeMo Framework, NVIDIA Triton Inference Server, TensorRT, and TensorRT-LLM.
  • Background 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.

Benefits

  • Eligible for equity and benefits.
  • NVIDIA is an equal opportunity employer valuing diversity and does not discriminate based on protected characteristics.