AI/ML Solutions Architect for Cloud & NVIDIA GPUs

Jobtailor; California (MO); On-site; USD 130,000 - 180,000; Full time

Job summary

NVIDIA is seeking a seasoned Solutions Engineer to design and demonstrate AI/ML solutions using NVIDIA technologies on cloud platforms. You will create proofs of concept, collaborate with sales, and deliver technical content to customers.

Ideal candidates have deep learning expertise, cloud deployment experience, and certifications in cloud architecture. This role emphasizes collaboration with customers and cross-functional teams to drive strategic solutions.

Qualifications

• BS/MS/PhD in Electrical/Computer Engineering, Computer Science, Statistics, Physics, or a related engineering field, or equivalent experience.
• 3+ years in Solutions Engineering or similar Sales Engineering, or equivalent experience.
• 3+ years in Deep Learning and Machine Learning.
• Experience with TensorFlow or PyTorch, GPU, and CUDA.
• Track record deploying solutions in cloud environments (AWS, GCP, Azure).
• Knowledge of DevOps/ML Ops technologies such as Docker/containers, Kubernetes, and data center deployments.
• Proficiency in at least one scripting language (Python).
• Strong programming and debugging skills; ability to communicate ideas clearly in documents/presentations.
• AWS/GCP/Azure Professional Solution Architect certifications are a differentiator.
• Hands-on with NVIDIA GPUs and SDKs (CUDA, RAPIDS, Triton) as a differentiator.
• System-level experience with GPU-based systems and distributed computing platforms as differentiators.

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 addressing customers’ critical business needs with NVIDIA hardware and software.
• Partner with Sales Account Managers to identify and secure new opportunities for NVIDIA products and solutions.
• Prepare and deliver technical content to customers, including presentations and workshops.
• Conduct regular technical customer meetings covering project/product roadmaps and new technologies.
• Establish close technical ties with customers to facilitate rapid resolution of issues.
• Engage with developers, researchers, and data scientists at strategic technology customers.
• Work with business and engineering teams on product strategy and drive end-to-end technology solutions.

Skills

Deep Learning

Machine Learning

TensorFlow

PyTorch

CUDA

Python

Programming & Debugging

Cloud Computing

DevOps/ML Ops

Parallel Programming

Communication Skills

Technical Presentation Skills

Education

BS/MS/PhD in Electrical/Computer Engineering, CS, Statistics, Physics or related field

Tools

Docker/Containers

Kubernetes

NVIDIA GPUs & SDKs

Data Center Deployments

Job description

NVIDIA is seeking a seasoned Solutions Engineer to design and demonstrate AI/ML solutions using NVIDIA technologies on cloud platforms. You will create proofs of concept, collaborate with sales, and deliver technical content to customers.

Ideal candidates have deep learning expertise, cloud deployment experience, and certifications in cloud architecture. This role emphasizes collaboration with customers and cross-functional teams to drive strategic solutions.