Senior Technical Marketing Engineer - AI Inference at Scale jobs in United States
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NVIDIA · 2 days ago

Senior Technical Marketing Engineer - AI Inference at Scale

NVIDIA is a leader in accelerated computing and AI technologies. They are seeking a Senior Technical Marketing Engineer to define and articulate the technical foundation of NVIDIA’s products and ensure a high-impact go-to-market strategy focused on AI inference at scale.

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H1B Sponsor Likelynote

Responsibilities

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

Qualification

AI/ML workloadsTechnical MarketingDeep Learning FrameworksData Center ArchitecturesTechnical Competitive AnalysisCollaborationCommunicationStorytelling

Required

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

Preferred

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

Benefits

Equity
Benefits

Company

NVIDIA is a computing platform company operating at the intersection of graphics, HPC, and AI.

H1B Sponsorship

NVIDIA has a track record of offering H1B sponsorships. Please note that this does not guarantee sponsorship for this specific role. Below presents additional info for your reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (1877)
2024 (1355)
2023 (976)
2022 (835)
2021 (601)
2020 (529)

Funding

Current Stage
Public Company
Total Funding
$4.09B
Key Investors
ARPA-EARK Investment ManagementSoftBank Vision Fund
2023-05-09Grant· $5M
2022-08-09Post Ipo Equity· $65M
2021-02-18Post Ipo Equity

Leadership Team

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Jensen Huang
Founder and CEO
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Michael Kagan
Chief Technology Officer
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Company data provided by crunchbase