Solutions Architect, Industry Accounts

We are now looking for a dynamic customer-minded Solution Architect who is passionate about AI areas such as machine learning (ML) and deep learning (DL) to join NVIDIA's developer programs team.

Growing and nurturing the ecosystem of developers who use NVIDIA platforms to power the AI revolution is a critical mission, and this role is tightly aligned with our strategic priorities. The role is fast-paced and involves engaging with developers across our Industry Enterprise customers at scale, as well as responding quickly to urgent implementation issues. In parallel, you will be building technical content that accelerates adoption.

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.

Requirements:

• 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.

Preferred Qualifications:

• 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.