Solutions Architect, Industry Accounts

What you'll do

• Accelerate the success of AI startups by helping them adopt latest SDKs and technologies.
• Resolve urgent implementation issues for enterprise customers at scale.
• Create technical content including sample applications, tutorials, white papers, and technical blogs.
• Develop hands-on training materials and exercises for Deep Learning Institute courses.
• Align developer enablement materials with internal product roadmaps and technology goals.
• Champion the use of deep learning and data science across a growing portfolio of startups.
• Act as a certified instructor to educate developers on NVIDIA's software stack.

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.
• Detailed understanding of NVIDIA's software stack from drivers to SDKs and APIs.
• Solid understanding of solution design and implementation for GPU-accelerated frameworks and platforms.
• Experience creating and delivering public-facing technical content and presenting to technical audiences.
• 3+ years of experience in machine learning or deep learning.
• Familiarity with deep learning frameworks such as TensorFlow, PyTorch, or Keras.
• Hands-on experience with NVIDIA SDKs including Riva, Triton, RAPIDS, cuDNN, and CUDA.