Product Marketing Manager - AI Platform Software at NVIDIA

Santa Clara, California, United States

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Not SpecifiedCompensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

AI, TechnologyIndustries

Requirements

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

Responsibilities

Build product positions - Collaborate with business leaders across NVIDIA to understand and communicate the value of our products to developers. 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

Skills

PyTorch

JAX

Megatron Core

TensorRT LLM

CUTLASS

NCCL

NIXL

Product Positioning

Go-to-Market Strategy

Technical Marketing

White Papers

Technical Presentations

Developer Marketing

NVIDIA

Designs GPUs and AI computing solutions

About NVIDIA

NVIDIA designs and manufactures graphics processing units (GPUs) and system on a chip units (SoCs) for various markets, including gaming, professional visualization, data centers, and automotive. Their products include GPUs tailored for gaming and professional use, as well as platforms for artificial intelligence (AI) and high-performance computing (HPC) that cater to developers, data scientists, and IT administrators. NVIDIA generates revenue through the sale of hardware, software solutions, and cloud-based services, such as NVIDIA CloudXR and NGC, which enhance experiences in AI, machine learning, and computer vision. What sets NVIDIA apart from competitors is its strong focus on research and development, allowing it to maintain a leadership position in a competitive market. The company's goal is to drive innovation and provide advanced solutions that meet the needs of a diverse clientele, including gamers, researchers, and enterprises.

Santa Clara, CaliforniaHeadquarters

1993Year Founded

$19.5MTotal Funding

IPOCompany Stage

Automotive & Transportation, Enterprise Software, AI & Machine Learning, GamingIndustries

10,001+Employees

Benefits

Company Equity

401(k) Company Match

Risks

Increased competition from AI startups like xAI could challenge NVIDIA's market position.

Serve Robotics' expansion may divert resources from NVIDIA's core GPU and AI businesses.

Integration of VinBrain may pose challenges and distract from NVIDIA's primary operations.

Differentiation

NVIDIA leads in AI and HPC solutions with cutting-edge GPU technology.

The company excels in diverse markets, including gaming, data centers, and autonomous vehicles.

NVIDIA's cloud services, like CloudXR, offer scalable solutions for AI and machine learning.

Upsides

Acquisition of VinBrain enhances NVIDIA's AI capabilities in the healthcare sector.

Investment in Nebius Group boosts NVIDIA's AI infrastructure and cloud platform offerings.

Serve Robotics' expansion, backed by NVIDIA, highlights growth in autonomous delivery services.

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