Modern data centers are transforming into AI factories, and NVIDIA accelerated computing is the engine of artificial intelligence. Our data center platforms integrate high performance compute, networking, and a full-stack software ecosystem to power AI at scale. We are looking for a Senior Technical Marketing Engineer to join our growing accelerated computing product team. This role is pivotal to setting the technical foundation of NVIDIA’s products, features, and advantages to ensure a consistent, high-impact go-to-market strategy.
In this role, you will own the articulation and promotion of NVIDIA's advanced platform technologies. The ideal person has a broad understanding of hardware components such as GPUs, CPUs, DPUs, NICs, and interconnect technologies like NVLink, PCIe, and switching architectures, with deep expertise in a specific area. In additional, you will effectively communicate how these innovations improve user experience and drive profitability for hyperscalers, system IT operators, and developers, aligning with our philosophy: "The more you buy, the more you save!"
What You'll Be Doing:
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Technical Evangelism: Develop and deliver compelling presentations, whitepapers, and technical content that elucidate the benefits of NVIDIA's architectures, emphasizing their impact on large-scale deployments and developer productivity.
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Stakeholder Engagement: Collaborate closely with hyperscale customers, system operators, and developer communities to understand their needs, gather feedback, and tailor messaging that highlights the value proposition of upgrading to NVIDIA's latest platforms.
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Performance Demonstration: Showcase how architectures like Blackwell and Rubin enhance user experience through improved performance, scalability, and efficiency, leading to increased revenue opportunities for cloud providers and LLM-serving companies.
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Content Creation: Produce high-quality technical marketing materials, including blogs, webinars, and case studies, that resonate with technical audiences and decision-makers.
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Market Analysis: Stay abreast of industry trends, competitive landscapes, and emerging technologies to inform strategic positioning and highlight NVIDIA's leadership in the market.
What We Need to See:
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A BS Degree in Computer Engineering or Electrical Engineering related field with a Masters Degree or equivalent experience in Product or Technical Marketing.
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7+ years in technical marketing, solutions architecture, or a related role within the technology sector, preferably with experience in AI, cloud computing, or data center environments.
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Comprehensive background in the data center platform technologies, including compute, storage, and networking.
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Specialized knowledge in one or more areas, such as GPU architecture, high-speed interconnects, or data center networking.
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Experience with NVIDIA's Grace Blackwell and Vera Rubin architectures is helpful.
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Exceptional ability to convey complex technical concepts to diverse audiences, including developers, system operators, and executives.
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Consistent track record of developing and driving go-to-market strategies for new technologies, with a focus on driving adoption and demonstrating return on investment.
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Strong interpersonal skills with the ability to work multi-functionally across engineering, sales, and product management teams.
NVIDIA is widely considered to be one of high technology's most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us. Our goal is to craft an environment where you can do your life's best work. If you're creative, self-motivated, and autonomous, we want to hear from you!
The base salary range is 160,000 USD - 322,000 USD. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions.
You will also be eligible for equity and benefits. NVIDIA accepts applications on an ongoing basis.
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.
Top Skills
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.”
