Note: The job is a remote job and is open to candidates in USA. NVIDIA is a leading technology company known for its innovative accelerated computing technologies and platforms. They are seeking a dynamic Solutions Architect to engage with developers across Industry Enterprise customers, helping to build applications and services in AI and deep learning while creating educational materials to accelerate adoption of NVIDIA's SDKs.

Responsibilities

• Making AI Startups successful, helping accelerate their apps/platforms using the latest SDKs and technologies
• Collaborating deeply with NVIDIA deep learning engineers, SDK product and framework teams, Deep Learning Institute (DLI), and NV Research to ensure developer enablement materials are best-in-class and fully aligned with technology roadmaps
• Championing the use of DL (deep learning) and Data Science across the growing portfolio of AI startups
• Developing world-class materials to educate developers. Assets include sample applications, tutorials, white papers, technical blogs, trainings and presentations to help developers adopt NVIDIA’s SDKs and key technologies
• Contributing to the development of hands-on training materials and exercises used in DLI courses and becoming a certified instructor

Skills

• BS/MS in Engineering, Computer Engineering, or Computer Science - or equivalent experience
• 5+ years experience in an externally facing technical role
• Solid understanding of standard methodologies for solution design and implementation based on frameworks and platforms that are GPU-accelerated
• Detailed understanding of NVIDIA's software stack from drivers to SDKs and APIs
• Experience presenting to technical audiences and creating technical content for developers
• Passionate about getting things done quickly
• Excellent written and verbal communication skills
• Confirmed ability to handle multiple projects simultaneously
• Ability to work independently with minimal direction
• Please be prepared to provide samples of your work where you have created and delivered public-facing technical content, made forum contributions, etc
• History of engaging and nurturing developers
• Hands-on experience with NVIDIA SDKs and key technologies (e.g. Riva, Triton, RAPIDS, cuDNN, CUDA, DL/ML Frameworks)
• 3+ years of machine learning or deep learning experience
• In-depth knowledge of modern deep learning software design, data science workflows, and applications
• Familiarity with deep learning frameworks such as TensorFlow, PyTorch, Keras, or others

Benefits

• You will also be eligible for equity and [benefits](https://www.nvidia.com/en-us/benefits/).

Company Overview

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