Technical Marketing Engineer - AI Platform Software

About the role

NVIDIA is looking for a Technical Marketing Engineer (TME) to communicate the latest advancements in our AI Platform Software to the developer and user community. The AI Platform Software team manages the complete high-performance AI software stack: core kernel and communication libraries such as cuDNN and NCCL, open training platforms like PyTorch and Megatron, and accelerated inference platforms such as TensorRT-LLM and Dynamo.

This role works closely with product, engineering, and marketing teams to develop key technical content that guides developers on how to use NVIDIA's AI platforms. You will review the stack before release and often be the first outside the engineering team to fully understand it. You'll be part of a collaborative group of TMEs, product managers, and developer advocates committed to delivering the best AI software platform for our developer community.

Responsibilities

• Investigate new training and inference features while assessing them from a developer's point of view.
• Write blog posts, guides, and reference examples that developers can use.
• Collaborate with internal and external deep learning engineers and researchers to build product-based training material and how-to technical content.
• Champion AI among NVIDIA developers by directly engaging with our developer community.
• Improve product documentation to be clear for developers and their agents.
• Grow the value of our software by bringing community and customer feedback back to our product and engineering teams.
• Provide guidance to deep learning developers by building code samples and proof-of-concept applications.
• Benchmark and generate data for positioning NVIDIA's inference platforms as the lowest cost-per-watt.

Requirements

• Bachelor's degree in Computer Science, Computer Engineering, or similar field or equivalent experience.
• 4+ years of practical experience in deep learning or machine learning, including research conducted during undergraduate and graduate studies.
• Hands-on experience with at least one training or inference framework such as PyTorch, JAX, Megatron, TensorRT-LLM, vLLM, SGLang, or comparable tools.
• Solid understanding of Python or C/C++, programming techniques, and software development.
• Something you have written or built for a technical audience that we can engage with: a blog post, tutorial, documentation set, conference talk, thesis chapter, or public repository.
• Passion for presenting to technical audiences and crafting content for developers.
• Prior success in balancing multiple projects at a time.

Skills

• Advanced knowledge of modern LLM and AI software architecture: attention kernels, parallelism strategies, quantization, KV cache management, and request scheduling.
• Sustained contributions to publicly accessible AI projects or developer forums.
• Experience running, tuning, or interpreting benchmarks on multi-GPU systems.
• Experience explaining a system you did not build to people who need to use it tomorrow.

Pay

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 136,000 USD - 212,750 USD for Level 3, and 160,000 USD - 253,000 USD for Level 4. You will also be eligible for equity and benefits.