2 days 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: 17 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: Santa Clara

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: 4.3

Website LinkedIn Glassdoor

Loading job details...

Preparing the role view and application actions.

NVIDIA

2 days 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: 17 hours agoStatus: Live

Job Summary

Location: Santa Clara

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

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: 4.3

Website LinkedIn Glassdoor