Technical Marketing Engineer, AI Platform Software

What you'll do

• Investigate new training and inference features to assess them from a developer's perspective.
• Create technical content including blog posts, user guides, reference examples, and demonstrations for the developer community.
• Collaborate with internal and external engineers to develop product-based training materials and how-to content.
• Improve product documentation to ensure clarity for developers and their automated agents.
• Gather and relay community and customer feedback to internal product and engineering teams.
• Build code samples and proof of concept applications to guide deep learning developers.
• Benchmark and generate data to position NVIDIA's inference platforms as the most cost-efficient options.

What we're looking for

• Bachelor's degree in Computer Science, Computer Engineering, or a similar field (or equivalent experience).
• 4+ years of practical experience in deep learning or machine learning.
• Hands-on experience with at least one training or inference framework such as PyTorch, JAX, Megatron, TensorRT-LLM, vLLM, or SGLang.
• Solid understanding of Python or C/C++, programming techniques, and software development.
• Proven track record of creating technical content for a technical audience, such as blog posts, tutorials, documentation, or public repositories.
• Passion for presenting to technical audiences and crafting content specifically for developers.
• Ability to manage multiple projects simultaneously.
• Advanced knowledge of LLM architecture, including attention kernels, parallelism strategies, quantization, and KV cache management.