Solutions Architect, AI and ML

About the role

NVIDIA is seeking a Cloud Solution Architect to assist customers in adopting GPU hardware and software, and building and deploying Machine Learning (ML) and Deep Learning (DL) solutions on various Cloud Computing Platforms.

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
• Create custom Proof of Concepts (PoCs) for solutions addressing customer's 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 in ML/DL and other software solutions
• Prepare and deliver technical content to customers, including presentations about purpose-built solutions, workshops about NVIDIA products and solutions, etc.
• Conduct regular technical customer meetings for project/product roadmap, feature discussions, and introduction to new technologies. Establish close technical ties to the customer to facilitate rapid resolution of customer issues

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 deep learning frameworks TensorFlow or PyTorch, GPU, and CUDA experience extremely helpful
• Bachelor's/ Master's/ PhD in Electrical/Computer Engineering, Computer Science, Statistics, Physics, or other Engineering fields or equivalent experience
• Established track record of deploying solutions in cloud computing environments including AWS, GCP, or Azure
• Knowledge of DevOps/ML Ops technologies such as Docker/containers, Kubernetes, data center deployments
• Ability to use at least one scripting language (i.e., Python)
• Good programming and debugging skills
• Ability to communicate your ideas/code clearly through documents, presentation etc.

Qualifications

• AWS, GCP or Azure Professional Solution Architect Certification
• Hands-on experience with NVIDIA GPUs and SDKs (e.g. CUDA, RAPIDS, Triton etc.)
• System-level experience specifically GPU-based systems
• Familiarity with parallel programming and distributed computing platforms

Benefits

We make extensive use of conferencing tools, but occasional travel is required for local on-site visits to customers and industry events.

Pay

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is $124,000 - $195,500 for Level 2, and $152,000 - $241,500 for Level 3.

Schedule

You will also be eligible for equity and benefits.