Senior Technical Marketing Engineer - AI Inference at Scale

IIBA (International Institute of Business Analysis); Santa Clara (CA); On-site; USD 160,000 - 322,000; Full time

Job summary

A leading technology company is seeking a Senior Technical Marketing Engineer to define and communicate the technical advantages of NVIDIA's products. The role involves collaborating with internal teams to create compelling content aimed at enhancing market understanding and driving adoption of AI solutions. Candidates must possess extensive product marketing experience, technical expertise in modern data centers, and exceptional communication skills, with rewarding compensation reflecting the significant responsibilities and industry standards.

Benefits

Eligibility for equity and benefits

Qualifications

• 7+ years of experience in product marketing, technical marketing, or customer-facing roles.
• Passionate about AI/ML workloads at scale.
• Experience conducting technical competitive analysis.

Responsibilities

• Translate NVIDIA's technologies into impactful messaging.
• Develop foundational content such as whitepapers and technical blogs.
• Conduct competitive analysis on hardware and software solutions.

Skills

Technical Expertise

Market Awareness

Collaboration & Influence

Strong Communication & Storytelling

Education

BS Degree in Computer Science or Engineering

Masters in Business Administration or equivalent

Tools

PyTorch

TensorFlow

JAX

Job description

Modern data centers are transforming into AI factories, and NVIDIA accelerated computing is the engine of artificial intelligence. Our data center platforms integrate CPUs, GPUs, DPUs, 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 in defining and articulating the technical foundation of NVIDIA's products, features, and advantages to enable other teams and ensure a consistent, high-impact go-to-market strategy.

This role will focus on AI inference at scale, ensuring that customers and partners understand how to best leverage the potential of NVIDIA's accelerated computing solutions. You will collaborate closely with engineering, product teams, field teams, and ecosystem partners to develop compelling technical narratives, competitive positioning, and technical content that drives adoption.

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.

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.