Solutions Architect, Industry Accounts

What you'll do

• Help AI startups accelerate their applications and platforms using the latest SDKs and technologies.
• Collaborate with internal engineering and product teams to ensure developer enablement materials align with technology roadmaps.
• Champion the use of deep learning and data science across the portfolio of AI startups.
• Develop technical content including sample applications, tutorials, white papers, and technical blogs.
• Create hands-on training materials and exercises for Deep Learning Institute courses.
• Serve as a certified instructor for technical training programs.
• Respond quickly to urgent implementation issues for enterprise customers at scale.

What we're looking for

• BS/MS in Engineering, Computer Engineering, or Computer Science or equivalent experience.
• 5+ years of experience in an externally facing technical role.
• Solid understanding of solution design and implementation methodologies for GPU-accelerated frameworks and platforms.
• Detailed understanding of NVIDIA's software stack, including drivers, SDKs, and APIs.
• Experience presenting to technical audiences and creating technical content for developers.
• Excellent written and verbal communication skills with the ability to handle multiple projects simultaneously.
• Hands-on experience with NVIDIA SDKs and key technologies such as Riva, Triton, RAPIDS, cuDNN, CUDA, and DL/ML Frameworks (preferred).
• 3+ years of machine learning or deep learning experience (preferred).