AI Platform TME: Developer Advocate (Hybrid)

NVIDIA Corporation; Santa Clara (CA); On-site; USD 136,000 - 253,000; Full time

Benefits offered by this job

Equity

Benefits

Job summary

NVIDIA Corporation in Santa Clara is seeking a Technical Marketing Engineer to translate AI Platform Software advances into developer‑facing content. You will write blogs, guides, and demos, collaborate with deep learning engineers, researchers, and product teams, and review releases to understand the stack from a user perspective.

You should have 4+ years in deep learning, a CS/CE degree, hands-on with PyTorch or similar, and an ability to explain complex systems to technical audiences.

Qualifications

• Bachelor's degree in CS/CE or equivalent experience.
• 4+ years in deep learning or ML, incl. undergrad/grad research.
• Hands-on with at least one DL framework (PyTorch, JAX, Megatron, etc.).
• Proven ability to write for a technical audience.

Responsibilities

• Write blog posts, guides and reference examples for developers.
• Collaborate with internal/external DL engineers and researchers.
• Be the AI champion among NVIDIA developers and users.
• Improve product documentation for developers and their teams.
• Gather feedback from community and customers for product teams.
• Provide code samples and proof-of-concept applications.
• Benchmark and position NVIDIA inference platforms for efficiency.

Skills

Technical content creation

Public speaking

Multi-project management

Education

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

Tools

PyTorch

JAX

Megatron

TensorRT-LLM

vLLM

SGLang

Job description

NVIDIA Corporation in Santa Clara is seeking a Technical Marketing Engineer to translate AI Platform Software advances into developer‑facing content. You will write blogs, guides, and demos, collaborate with deep learning engineers, researchers, and product teams, and review releases to understand the stack from a user perspective.

You should have 4+ years in deep learning, a CS/CE degree, hands-on with PyTorch or similar, and an ability to explain complex systems to technical audiences.