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Technical Marketing Engineer - AI Platform Software

at Nvidia

Back to all Data Science / AI / ML jobs
N
Industry not specified

Technical Marketing Engineer - AI Platform Software

at Nvidia

Mid LevelNo visa sponsorshipData Science/AI/ML

Posted 13 hours ago

No clicks

Compensation
$136,000 – $253,000 USD

Currency: $ (USD)

City
Not specified
Country
United States

NVIDIA seeks a technical marketing engineer with deep understanding of the AI platform software stack to create developer-focused content including technical blogs, guides, walk-throughs, and benchmarks. The role involves collaborating with deep learning engineers and researchers to build training material and how-to content, engaging with the developer community, and improving product documentation. You will provide code guidelines and samples, gather usability feedback, and help position NVIDIA's AI platform software for training and inference across DL workloads.

NVIDIA software powers today's breakthroughs in AI! To enable researchers and developers to keep pace with this dynamic field, we seek a technical marketing expert who understands the AI platform software stack and the ecosystem! This role will craft the fundamental technical content educating developers how to write software's using NVIDIA's AI platforms through technical blog posts, user guides, walk-throughs, benchmark and more. This material is essential in mentoring developers about the latest advancements in the NVIDIA AI platform SW. Do you appreciate the value of a well-done design guide? If so, we'd like your help empowering developers across deep learning training and inference.

What You'll be Doing:

  • 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 the NVIDIA developer community by interacting and answering questions about the product on Github and other forums

  • Improving product documentations to be clear and self-explanatory

  • Facilitating channel customer usability feedback from the external community and partnering with internal teams to improve NVIDIA AI Platforms to be the easiest to use

  • Providing code guidelines to DL developers by implementing samples and proof of concept applications

  • Benchmarking and generating data for better positioning of NVIDIA's SW product

What We Need to See:

  • Bachelor’s degree in Computer Science, Computer Engineering, or similar field or equivalent experience

  • 5+ years of meaningful work experience in software development, technical evangelism, technical marketing, developer marketing, or similar at a technology company

  • 3+ year of experience with deep learning or machine learning

  • Strong knowledge of Python or C/C++, programming techniques, and software development

  • Strength presenting to technical audiences and generating content for developers

  • Prior success in juggling multiple projects at a time

Ways to Stand Out from the Crowd:

  • Advanced knowledge of LLMs, modern AI software architecture and cloud APIs

  • Existing public facing technical content, forum contributions or open source projects

  • Familiarity with PyTorch, JAX, vLLM or other training & inference frameworks

#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 February 27, 2026.

This posting is for an existing vacancy.

NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

Technical Marketing Engineer - AI Platform Software

at Nvidia

Back to all Data Science / AI / ML jobs
N
Industry not specified

Technical Marketing Engineer - AI Platform Software

at Nvidia

Mid LevelNo visa sponsorshipData Science/AI/ML

Posted 13 hours ago

No clicks

Compensation
$136,000 – $253,000 USD

Currency: $ (USD)

City
Not specified
Country
United States

NVIDIA seeks a technical marketing engineer with deep understanding of the AI platform software stack to create developer-focused content including technical blogs, guides, walk-throughs, and benchmarks. The role involves collaborating with deep learning engineers and researchers to build training material and how-to content, engaging with the developer community, and improving product documentation. You will provide code guidelines and samples, gather usability feedback, and help position NVIDIA's AI platform software for training and inference across DL workloads.

NVIDIA software powers today's breakthroughs in AI! To enable researchers and developers to keep pace with this dynamic field, we seek a technical marketing expert who understands the AI platform software stack and the ecosystem! This role will craft the fundamental technical content educating developers how to write software's using NVIDIA's AI platforms through technical blog posts, user guides, walk-throughs, benchmark and more. This material is essential in mentoring developers about the latest advancements in the NVIDIA AI platform SW. Do you appreciate the value of a well-done design guide? If so, we'd like your help empowering developers across deep learning training and inference.

What You'll be Doing:

  • 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 the NVIDIA developer community by interacting and answering questions about the product on Github and other forums

  • Improving product documentations to be clear and self-explanatory

  • Facilitating channel customer usability feedback from the external community and partnering with internal teams to improve NVIDIA AI Platforms to be the easiest to use

  • Providing code guidelines to DL developers by implementing samples and proof of concept applications

  • Benchmarking and generating data for better positioning of NVIDIA's SW product

What We Need to See:

  • Bachelor’s degree in Computer Science, Computer Engineering, or similar field or equivalent experience

  • 5+ years of meaningful work experience in software development, technical evangelism, technical marketing, developer marketing, or similar at a technology company

  • 3+ year of experience with deep learning or machine learning

  • Strong knowledge of Python or C/C++, programming techniques, and software development

  • Strength presenting to technical audiences and generating content for developers

  • Prior success in juggling multiple projects at a time

Ways to Stand Out from the Crowd:

  • Advanced knowledge of LLMs, modern AI software architecture and cloud APIs

  • Existing public facing technical content, forum contributions or open source projects

  • Familiarity with PyTorch, JAX, vLLM or other training & inference frameworks

#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 February 27, 2026.

This posting is for an existing vacancy.

NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

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