Are you a software developer, deep learning engineer, or scientist excited to collaborate with developers? 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 how to use NVIDIA's AI platforms. Examples include technical blog posts, user guides, walk-throughs, demonstrations, benchmarks, and more. We seek a candidate who has trained a model, optimized an inference server, or debugged a multi-GPU job-and who is eager to share their expertise with others. 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. What you'll be doing: - Investigating new training and inference features while assessing them from a developer's point of view. Writing blog posts, guides, and reference examples that developers can use. - Collaborating with internal and external deep learning engineers and researchers to build product-based training material and how-to technical content. - Being the champion for AI among NVIDIA developers by directly engaging with our developer community. - Improving product documentation to be clear for developers and their agents. - Growing the value of our software by bringing community and customer feedback back to our product and engineering teams. - Providing guidance to deep learning developers by building code samples and proof of concept applications. - Benchmarking and generating data for positioning NVIDIA's inference platforms as the lowest cost-per-watt. What We Need to See: - 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. Ways to Stand Out from the Crowd: - 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. Widely considered to be one of the technology world's most desirable employers, NVIDIA offers highly competitive salaries and a comprehensive benefits package. As you plan your future, see what we can offer to you and your family www.nvidiabenefits.com/ #LI-Hybrid 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. Applications for this job will be accepted at least until August 3, 2026. This posting is for an existing vacancy. NVIDIA uses AI tools in its recruiting processes.