Technical Marketing Engineer - AI Platform Software

NVIDIA
United States
Workplace: HybridFull timeUSD 136,000 - 253,000 annuallyFunction: Marketing & GrowthExperience: 4+ yearsEducation: bachelorsSkills: ["Presenting","Technical writing","Collaboration","Multi-tasking","Documentation improvement"]

Collaborate with the AI Platform Software team to translate cutting-edge training and inference technologies for the developer community. Investigate new features, write technical blogs, guides, and reference examples, and work with engineers and researchers to build product-based training material. Engage directly with developers, improve documentation, and generate benchmarks and positioning data that support NVIDIA’s inference platforms and lowest cost-per-watt goals.

Loading

Loading job details...

Preparing the role view and application actions.

FursaFursa
NVIDIA
NVIDIA
1 month ago

Technical Marketing Engineer - AI Platform Software

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 8 hours agoStatus: Live

Job Summary

Collaborate with the AI Platform Software team to translate cutting-edge training and inference technologies for the developer community. Investigate new features, write technical blogs, guides, and reference examples, and work with engineers and researchers to build product-based training material. Engage directly with developers, improve documentation, and generate benchmarks and positioning data that support NVIDIA’s inference platforms and lowest cost-per-watt goals.
Location: United States
Workplace: Hybrid
Employment Type: Full time
Job Function: Marketing & Growth
Seniority: Mid level

Key Responsibilities

  • •Investigate new training and inference features and assess them from a developer’s perspective; write blog posts, guides, and reference examples.
  • •Collaborate with deep learning engineers and researchers to build product-based training material and how-to technical content.
  • •Serve as an AI champion by engaging with NVIDIA’s developer community and directly supporting their needs.
  • •Improve product documentation so it is clear for developers and their agents.
  • •Benchmark and generate data to position NVIDIA inference platforms as the lowest cost-per-watt; build code samples and proof-of-concept applications.

Pay and Benefits

Salary: USD 136,000 - 253,000 annually
Equity and Bonus:Equity
Perks:Equity

Key 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 during undergraduate/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.
  • •Experience writing or building for a technical audience (e.g., blog post, tutorial, documentation, conference talk, thesis, or public repository).
Experience:4+ yearsDeep learningMachine learningAI platformsLLMs
Education:Bachelor's
Skills:PresentingTechnical writingCollaborationMulti-taskingDocumentation improvement
Tech Stack:CuDNNNCCLPyTorchMegatronTensorRT-LLMDynamoJAXVLLMSGLangPythonC/C++Multi-GPULLMAttention kernelsKV cacheQuantizationRequest scheduling

Company Brief

NVIDIA
Designs and manufactures GPUs, AI accelerators, and system-on-chip products for gaming, data centers, professional visualization, and automotive markets, enabling advanced graphics, AI, and high-performance computing solutions worldwide.
Industry: Electronics Manufacturing
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Public Company
Valuation: Public Company (Market Cap in USD)
Funding: IPO / Publicly Listed
Headquarters: Santa Clara, United States
Founded: 1993
Glassdoor
Glassdoor: 4.3
WebsiteLinkedInGlassdoor