Nvidia Senior Technical Marketing Engineer - AI Inference Scale 

United States, Texas 

495102794

What You’ll Be Doing:

• Develop Technical Positioning & Messaging – Translate NVIDIA’s AI inference and accelerated computing technologies into clear, impactful messaging that resonates with hyperscale data centers and enterprise AI customers.

• Build Foundational Content – Develop whitepapers, technical blogs, solution briefs, presentations, explainer videos, and demos that highlight NVIDIA’s AI inference capabilities.

• Engage with Engineering & Product Teams – Work closely with internal teams to deeply understand product features, roadmaps, and competitive differentiators.

• Conduct Competitive Analysis – Analyze competitors' hardware and software solutions, using data and customer feedback to inform NVIDIA’s positioning.

• Support Sales & Partner Enablement – Develop training materials, sales enablement tools, and technical content to empower internal teams, partners, and customers.

• Lead Go-To-Market Execution – Partner with campaign marketing, field operations, and partner marketing to ensure seamless product launches and market adoption.

• Improve NVIDIA’s AI Thought Leadership – Contribute to industry-firsts, customer success stories, analyst briefings, and high-visibility speaking engagements.

What We Need to See:

• A BS Degree in Computer Science or Engineering related field with a Masters in Business Administration or equivalent experience in a Product Marketing role

• 7+ years of experience in product marketing, technical marketing, or customer-facing engineering roles. Must be passionate about AI/ML workloads at scale.

• Technical Expertise – Deep understanding of modern data center architectures, accelerated computing, distributed inference, deep learning frameworks (PyTorch, TensorFlow, JAX), and inference-specific frameworks & optimizations (Triton Inference Server, TensorRT-LLM, vLLM, SGLang).

• Market Awareness – Experience conducting technical competitive analysis and synthesizing key insights.

• Collaboration & Influence – Proven ability to work cross-functionally across engineering, product management, sales, and marketing teams.

• Strong Communication & Storytelling – Ability to translate sophisticated technical concepts into clear, compelling narratives for both technical and business audiences.

Ways to Stand Out from the crowd:

• Experience working with hyperscale cloud providers or large-scale AI deployments.

• Hands-on experience with AI inferencing workflows using NVIDIA or open-source serving frameworks running on accelerated computing in the data center.

• Hands-on Technical Competence – Background in software development, cloud AI infrastructure, and technical writing is a plus.

• Demonstrated ability to engage with executive leadership and external partners.

• Published technical content or speaking experience at industry events.