Technical Marketing Engineer - AI Platform Software Equity

NVIDIA Corporation; United States; Hybrid; USD 136,000 - 253,000; Full time

Benefits offered by this job

Equity

Comprehensive benefits package

Hybrid work model

Job summary

NVIDIA Corporation is seeking a Technical Marketing Engineer to translate AI platform advances into practical content for developers. You will craft blogs, guides, and demonstrations that showcase PyTorch, Megatron, TensorRT-LLM, and other tools, while collaborating with product and engineering teams.

The role requires hands-on DL experience, strong Python/C++ skills, and a proven ability to explain complex systems to technical audiences. Hybrid work and competitive equity are offered.

Qualifications

• Bachelor's degree in CS/CE or equivalent experience.
• 4+ years in deep learning or ML, with undergrad/grad research.
• Hands-on with at least one training/inference framework (PyTorch, JAX, Megatron, TensorRT-LLM, vLLM, SGLang).
• Strong Python or C/C++ programming skills.
• Demonstrated technical writing or public repo for a technical audience.
• Passion for presenting to technical audiences and multi-project juggling.

Responsibilities

• Investigate new training and inference features from a developer perspective and author guides and examples.
• Collaborate with deep learning engineers/researchers to build training material and how-to content.
• Engage with the NVIDIA developer community and advocate for AI.
• Improve product documentation for developers and their tooling.
• Incorporate community and customer feedback into product/engineering discussions.
• Create code samples and proof-of-concept applications for DL users.

Skills

Python

C/C++

Deep learning

Benchmarking

Education

Bachelor's degree in Computer Science, Engineering, or equivalent

Tools

PyTorch

JAX

Megatron

TensorRT-LLM

vLLM

SGLang

Job description

NVIDIA Corporation is seeking a Technical Marketing Engineer to translate AI platform advances into practical content for developers. You will craft blogs, guides, and demonstrations that showcase PyTorch, Megatron, TensorRT-LLM, and other tools, while collaborating with product and engineering teams.

The role requires hands-on DL experience, strong Python/C++ skills, and a proven ability to explain complex systems to technical audiences. Hybrid work and competitive equity are offered.