Become a part of NVIDIA, the industry front runner in AI computing, and help us revolutionize AI-powered solutions. As an NVIDIAN, you’ll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join the team and see how you can make a lasting impact on the world. We are looking for a technical product marketing manager who is passionate about AI frameworks for training and deployment to join NVIDIA’s AI Platform Software team. We need someone technical to build go-to-market plans and shepherd the creation of supporting marketing materials like sample applications, tutorials, white papers, and deeply technical presentations that convey the value of training and inference frameworks, such as PyTorch, JAX, Megatron Core, TensorRT LLM and the underlying kernel and communication libraries such as CUTLASS, NCCL and NIXL.
Do you have the rare blend of both technical and marketing skills? We need hard-working and creative people who want to work on state-of-the-art technology and are passionate about supporting developers. If so, we would love to learn more about you.
What you’ll be doing:
Build product positions - Collaborate with business leaders across NVIDIA to understand and communicate the value of our products to developers. You will gather evidence, develop compelling product claims, and establish positioning points that highlight our strengths and address our competitors' weaknesses.
Introduce products - Develop and complete well-crafted marketing plans, ensuring consistent messaging across all materials. Collaborate with a diverse cross-functional team, including product management, technical marketing, engineering, campaign managers, and PR, to effectively implement these plans.
Foster awareness - Segment and target audiences, identify asset gaps, and collaborate with technical teams to build developer-centric marketing content. This includes generating deep technical blogs, webinars, tutorials, and more to showcase the outstanding features and capabilities
Public engagement - Represent NVIDIA at trade shows, conferences, and customer meetings. Evangelize and nurture the use of our software development kits to grow the NVIDIA developer community.
What we need to see:
MS/PhD in Computer Science or Engineering or equivalent experience
10+ years of meaningful work experience in a technical marketing role related to deep learning software.
Technical expertise - Familiarity with popular large language models like DeepSeek, GPT-OSS, Gemma and Phi and an understanding of optimization techniques for accelerating training and inference workloads.
Frameworks ecosystem knowledge - Experience with compilers such as OAI Triton, XLA, MLIR, and frameworks like PyTorch, JAX, vLLM, sglang.
Programming skills - Proficiency in modern programming languages like Python
Communication skills - Outstanding written and verbal communication and interpersonal skills, with a proven ability to articulate value propositions to both technical and non-technical audiences.
Project management - Demonstrated ability to prioritize projects, commit to getting things done, and work independently.
Entrepreneurial approach - A willingness to work on new products and technologies with an entrepreneurial spirit.
Writing samples - Please include samples of public-facing technical content you’ve built.
Ways to stand out from the crowd:
Product marketing experience - Experience in marketing accelerated computing software products for AI frameworks
NVIDIA ecosystem knowledge - Familiarity with NVIDIA GPUs and the CUDA parallel programming model
184,000 USD – 287,500 USD for Level 5; and 224,000 USD – 356,500 USD for Level 6.
You will also be eligible for equity and benefits.
This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes.
NVIDIA is committed to fostering an inclusive 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.Skills Required
- MS or PhD in Computer Science, Engineering, or equivalent experience
- 10+ years of meaningful experience in technical marketing related to deep learning software
- Familiarity with large language models including DeepSeek, GPT-OSS, Gemma, and Phi
- Understanding of optimization techniques for accelerating AI training and inference workloads
- Experience with OAI Triton, XLA, MLIR, PyTorch, JAX, vLLM, and sglang
- Proficiency in Python or comparable modern programming languages
- Outstanding written, verbal, and interpersonal communication skills
- Ability to articulate value propositions to technical and non-technical audiences
- Project prioritization, execution, and independent work skills
- Entrepreneurial approach to new products and technologies
- Public-facing technical writing samples
- Product marketing experience for accelerated computing software and AI frameworks
- Familiarity with NVIDIA GPUs and the CUDA parallel programming model
NVIDIA Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about NVIDIA and has not been reviewed or approved by NVIDIA.
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Equity Value & Accessibility — Company stock and RSUs have driven exceptional total compensation, with a generous employee stock purchase plan and ongoing equity refreshers playing a central role. Feedback suggests historic share-price gains created significant financial upside for many.
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Healthcare Strength — Multiple plan options (HSA, PPO, and in some locations Kaiser) with in-network preventive care covered at 100% and company HSA contributions indicate a robust offering. Mental-health sessions and broad dental, vision, and disability coverage further strengthen the package.
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Parental & Family Support — Up to 22 weeks of fully paid parental leave, adoption and surrogacy reimbursement, and coverage for IVF and egg freezing are highlighted as standout features. Additional family-care resources and caregiving support broaden the appeal.
NVIDIA Insights
What We Do
NVIDIA’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing — with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. Today, NVIDIA is increasingly known as “the AI computing company.”
