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 @ 5 Statistics @ 3 GCP @ 3 Machine Learning @ 3 Data Science @ 3 TensorFlow @ 6 AWS @ 3 Azure @ 3 Communication @ 3 Parallel Programming @ 2 Debugging @ 6 PyTorch @ 6 CUDA @ 6 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 assist customers in adopting GPU hardware and software as well as building and deploying Machine Learning (ML), Deep Learning (DL), and data analytics solutions on various Cloud Computing Platforms. The Solutions Architecture team works with the latest breakthroughs in machine learning and data science, engaging directly with developers, researchers, and data scientists as well as business and engineering teams to drive end-to-end technology solutions based on 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) addressing customer 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 related to ML/DL and other software.
  • Prepare and deliver technical content to customers, including presentations and workshops about NVIDIA products and solutions.
  • Conduct regular technical customer meetings concerning project/product roadmap, feature discussions, and introductions to new technologies.

Requirements

  • 3+ years of Solutions Engineering or similar Sales Engineering roles.
  • 3+ years of work-related experience in Deep Learning and Machine Learning, including frameworks like TensorFlow or PyTorch; GPU and CUDA experience highly beneficial.
  • BS/MS/PhD in Electrical/Computer Engineering, Computer Science, Statistics, Physics, or equivalent experience.
  • Proven track record of deploying solutions in cloud environments such as AWS, GCP, or Azure.
  • Knowledge of DevOps/ML Ops technologies like Docker/containers, Kubernetes, data center deployments.
  • Proficiency in at least one scripting language (e.g., Python).
  • Strong programming and debugging skills.
  • Effective communication skills to clearly convey ideas and code through documentation 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 with GPU-based systems.
  • Experience with Deep Learning at scale.
  • Familiarity with parallel programming and distributed computing platforms.

This is a full-time position based in Redmond, WA, USA. Occasional travel is required for local on-site customer visits and industry events. NVIDIA offers a competitive salary, equity, and comprehensive benefits.

Salary

The base salary range is $120,000 to $235,750 USD, determined based on location, experience, and pay of employees in similar roles.

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