Senior Technical Marketing Engineer - AI Inference at Scale
at Nvidia
USD 160,000-322,000 per year
SCRAPED
Used Tools & Technologies
Not specified
Required Skills & Competences ?
Marketing @ 4 Software Development @ 4 TensorFlow @ 7 Leadership @ 4 Communication @ 7 Product Management @ 4 LLM @ 7 PyTorch @ 7Details
Modern data centers are transforming into AI factories, and NVIDIA accelerated computing is the engine of artificial intelligence. 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 position focuses on AI inference at scale, helping customers and partners understand how to leverage NVIDIA’s accelerated computing solutions. 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 translating NVIDIA’s AI inference and accelerated computing technologies into clear, impactful messaging for hyperscale data centers and enterprise AI customers.
- Build foundational content: 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 to empower internal teams, partners, and customers.
- Lead go-to-market execution in partnership with campaign marketing, field operations, and partner marketing to ensure seamless product launches and market adoption.
- Improve NVIDIA’s AI thought leadership through industry-firsts, customer success stories, analyst briefings, and high-visibility speaking engagements.
Requirements
- BS degree in Computer Science or an engineering-related field; MBA or equivalent experience in a product marketing role is preferred.
- 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).
- Experience conducting technical competitive analysis and synthesizing key insights.
- Proven ability to work cross-functionally across engineering, product management, sales, and marketing teams.
- Strong communication and storytelling skills to translate sophisticated technical concepts into clear, compelling narratives for both technical and business audiences.
Preferred / Ways to Stand Out
- 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.
Compensation & Benefits
- Base salary range (Level 4): 160,000 USD - 253,000 USD.
- Base salary range (Level 5): 200,000 USD - 322,000 USD.
- You will also be eligible for equity and benefits.
Additional Details
- Location: Santa Clara, CA, United States.
- Position type: Full time.
- Applications for this job will be accepted at least until July 29, 2025.
- NVIDIA is an equal opportunity employer committed to fostering a diverse work environment.