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 @ 3 Kubernetes @ 3 DevOps @ 3 Python @ 3 Statistics @ 3 GCP @ 3 Machine Learning @ 3 MLOps @ 3 Data Science @ 3 TensorFlow @ 6 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 looking for an experienced Cloud Solution Architect to help customers adopt 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 customer accounts and work with business and engineering teams on product strategy. The role drives 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 customers’ critical business needs using NVIDIA hardware and software technology.
  • Partner with Sales Account Managers or Developer Relations Managers to identify and secure new business opportunities for NVIDIA products and solutions.
  • Prepare and deliver technical content to customers including presentations, workshops, and solution demos.
  • Conduct regular technical customer meetings for project/product roadmap reviews, feature discussions, and introductions to new technologies; establish close technical ties to customers to facilitate rapid issue resolution.

Requirements

  • 3+ years of Solutions Engineering or similar Sales Engineering experience (or equivalent).
  • 3+ years of work-related experience in Deep Learning and Machine Learning, including experience with frameworks such as TensorFlow or PyTorch.
  • Experience with GPUs and GPU programming; CUDA experience is extremely helpful.
  • BS/MS/PhD in Electrical/Computer Engineering, Computer Science, Statistics, Physics, or related field, or equivalent experience.
  • Established track record of deploying solutions in cloud computing environments (AWS, GCP, or Azure).
  • Knowledge of DevOps / MLOps technologies such as Docker/containers, Kubernetes, and data center deployments.
  • Ability to use at least one scripting language (for example, Python).
  • Solid programming and debugging skills and the ability to communicate ideas and code clearly through documents and presentations.

Ways to stand out

  • AWS, GCP or Azure Professional Solution Architect certification.
  • Hands-on experience with NVIDIA GPUs and SDKs (e.g., 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 and benefits

  • Base salary ranges (location, experience and level dependent):
    • Level 2: 120,000 USD - 189,750 USD
    • Level 3: 148,000 USD - 235,750 USD
  • Eligible for equity and company benefits.
  • Occasional travel required for on-site visits to customers and industry events.

NVIDIA is an equal opportunity employer committed to fostering a diverse work environment.