Solutions Architect, AI and ML

at Nvidia
📍 Redmond, United States
USD 120,000-235,800 per year
MIDDLE
✅ On-site

SCRAPED

Used Tools & Technologies

Not specified

Required Skills & Competences ?

Docker @ 2 Kubernetes @ 2 DevOps @ 2 Python @ 3 Statistics @ 3 GCP @ 3 Machine Learning @ 3 Data Science @ 3 TensorFlow @ 6 Hiring @ 3 AWS @ 3 Azure @ 3 Parallel Programming @ 2 Debugging @ 3 PyTorch @ 6 CUDA @ 3 Cloud Computing @ 3 GPU @ 3

Details

NVIDIA is building the world’s leading AI company and is hiring a Cloud Solution Architect to assist customers with adoption of GPU hardware and software, and to build and deploy Machine Learning (ML), Deep Learning (DL), and data analytics solutions on cloud platforms. As part of the Solutions Architecture team you will engage directly with developers, researchers, and data scientists at strategic technology customers and work with business and engineering teams on product strategy. The role focuses on driving end-to-end technology solutions applying NVIDIA’s technologies based on customer business needs.

Responsibilities

  • Work with Cloud Service Providers to develop and demonstrate solutions based on NVIDIA’s ML/DL and data science software and hardware technologies.
  • Build and deploy AI/ML solutions at scale using NVIDIA's AI software on cloud-based GPU platforms.
  • Build custom proofs-of-concept (PoCs) that address customer business needs using NVIDIA hardware and software.
  • Partner with Sales Account Managers or Developer Relations Managers to identify and secure new business opportunities for NVIDIA products and solutions for ML/DL and other software solutions.
  • Prepare and deliver technical content to customers, including presentations about purpose-built solutions and workshops on NVIDIA products and solutions.
  • Conduct regular technical customer meetings for project/product roadmap and feature discussions; introduce new technologies and establish close technical ties to facilitate rapid resolution of customer issues.
  • Occasional travel for local on-site customer visits and industry events; frequent use of conferencing tools.

Requirements

  • 3+ years of Solutions Engineering or similar Sales Engineering roles (or equivalent experience).
  • 3+ years of work-related experience in Deep Learning and Machine Learning, including experience with deep learning frameworks such as TensorFlow or PyTorch.
  • Experience with GPU hardware; CUDA experience is noted as extremely helpful.
  • BS/MS/PhD in Electrical/Computer Engineering, Computer Science, Statistics, Physics, or related engineering fields, or equivalent experience.
  • Proven track record deploying solutions in cloud computing environments (AWS, GCP, or Azure).
  • Familiarity with DevOps/ML Ops technologies such as Docker/containers, Kubernetes, and data center deployments.
  • Ability to use at least one scripting language (for example, Python).
  • Good programming and debugging skills and the ability to clearly communicate ideas and code via documentation and presentations.

Ways to stand out

  • AWS, GCP, or Azure Professional Solution Architect certification.
  • Hands-on experience with NVIDIA GPUs and SDKs (for example, CUDA, RAPIDS, Triton).
  • System-level experience specifically with GPU-based systems.
  • Experience with Deep Learning at scale.
  • Familiarity with parallel programming and distributed computing platforms.

Compensation & Benefits

  • Base salary ranges provided by level: Level 2 — 120,000 USD to 189,750 USD; Level 3 — 148,000 USD to 235,750 USD. Actual base salary will be determined based on location, experience, and pay of employees in similar positions.
  • Eligible for equity and additional benefits (link to NVIDIA benefits provided in original posting).

Other information

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