Senior Technical Marketing Engineer - AI Inference At Scale

Details

Modern data centers are transforming into AI factories, and NVIDIA accelerated computing is the engine of artificial intelligence. This role focuses on AI inference at scale and 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. You will collaborate with engineering, product, field teams, and ecosystem partners to develop technical narratives, competitive positioning, and technical content that drives adoption.

Responsibilities

• Develop technical positioning and messaging that translates NVIDIA’s AI inference and accelerated computing technologies into clear, impactful messaging for hyperscale data centers and enterprise AI customers.
• Build foundational content including whitepapers, technical blogs, solution briefs, presentations, explainer videos, and demos that highlight NVIDIA’s AI inference capabilities.
• Engage with engineering and product teams to deeply understand product features, roadmaps, and competitive differentiators.
• Conduct competitive analysis of competitors' hardware and software solutions, using data and customer feedback to inform NVIDIA’s positioning.
• Support sales and partner enablement by developing training materials, sales enablement tools, and technical content for internal teams, partners, and customers.
• Lead go-to-market execution by partnering with campaign marketing, field operations, and partner marketing to ensure seamless product launches and market adoption.
• Improve NVIDIA’s AI thought leadership via customer success stories, analyst briefings, speaking engagements, and industry-first contributions.

Requirements

• BS degree in Computer Science or Engineering or equivalent experience; MBA or equivalent experience in a Product Marketing role is noted.
• 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 and deep understanding of modern data center architectures, accelerated computing (CPUs, GPUs, DPUs), distributed inference, and the full-stack software ecosystem for AI.
• Hands-on familiarity with deep learning frameworks and inference-specific frameworks/optimizations such as PyTorch, TensorFlow, JAX, Triton Inference Server, TensorRT-LLM, vLLM, and SGLang.
• Experience conducting technical competitive analysis and synthesizing key insights.
• Proven ability to work cross-functionally across engineering, product management, sales, and marketing teams and to influence stakeholders.
• Strong communication and storytelling skills to translate sophisticated technical concepts into clear narratives for both technical and business audiences.

Ways to Stand Out / Preferred Qualifications

• 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 data centers.
• Background in software development, cloud AI infrastructure, and technical writing.
• Demonstrated ability to engage with executive leadership and external partners; published technical content or speaking experience at industry events.

Compensation & Benefits

• Base salary ranges (location & level dependent):
  • Level 4: 160,000 USD - 253,000 USD
  • Level 5: 200,000 USD - 322,000 USD
• Eligible for equity and benefits (link to NVIDIA benefits provided in original posting).

Additional Information

• Location: US, CA, Santa Clara (role listing indicates this location).
• Employment type: Full time.
• Applications accepted at least until July 29, 2025.
• NVIDIA is an equal opportunity employer and fosters a diverse work environment; hiring practices do not discriminate on protected characteristics.