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高级技术营销工程师,企业平台

雇主

NVIDIA

地点

Santa Clara · 美国

待遇

$面议

工作模式

线下

截止日期

1月10日

福利
Equity, Benefits

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岗位摘要

Technical Marketing Engineer to craft compelling workflows of NVIDIA solutions, focusing on customer

岗位职责

We are now looking for a Technical Marketing Engineer (TME) for crafting compelling workflows of
NVIDIA solutions.
This role requires a self-motivated person that thrives in a fast-paced, highly multifaceted environment that can adapt to a variety of challenges.
You will focus on customer enablement of workstation and local AI development products, work with key OEMs and internal teams to define demos of GPU enabled Enterprise Platforms and provide key technical collateral.
What you will be doing:
As an Enterprise Platform Technical Marketing Engineer, you will accelerate the adoption of
NVIDIA Enterprise solutions by building the workflows, demos, and technical content that show partners and customers what GPU-accelerated platforms make possible.
This is a deeply technical role for someone who can stand up an AI or agentic AI workflow end to end — and then explain it clearly to a room of engineers or at a public events.
You will develop technical marketing assets including product and technology demonstrations, videos, playbooks, and targeted content that translate
NVIDIA Enterprise Platformcapabilities into real-world use cases across Manufacturing, AECO, and Media & Entertainment.
Working closely with key OEM partners and internal teams, you will help define the demos that showcase GPU-enabled enterprise platforms, produce the technical collateral that supports them, and enable customers to develop AI locally on the systems they already trust.
Does this sound like your dream job?
Come show us what you've got!
What we need to see:
• 8
years of expertise with Workstation and server hardware, and graphics enabled workflows • Bachelors in Computer Science, Engineering, or equivalent experience with graphics.
• Excellent written and verbal interpersonal skills, including the ability to author original content (both written and presentations) • Ability to influence and work with an elite team of hardware and software engineers • Strong leadership skills and a creative and collaborative attitude • Self-motivated individual who can work through a problem from start to finish • Excellent presentation and story-telling skills to engage customers, press, and analysts • Proven ability to think creatively and innovatively, you have the ability to thrive in a high-energy, dynamic environment Ways to stand out from the crowd:
• AI and Agentic AI development experience • Knowledge of CPU and/or GPU architecture, networking and storage • Proficient in Linux, Windows, Arm architecture • Expertise in
NVIDIA technologies and solutions • Experienced in creating compelling collateral, and speaking publicly about data center and AI innovations Your base salary will be determined based on your location, experience, and the pay of employees in similar positions.
The base salary range is 148,000 USD - 235,750 USD for Level 4, and 184,000 USD - 287,500 USD for Level 5.
You will also be eligible for equity and benefits. Applications for this job will be accepted at least until September 27, 2026.
This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes.
NVIDIA is committed to fostering an inclusive 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.

申请条件

Minimum Qualifications:
8+ years of expertise with Workstation and server hardware, and graphics enabled workflows.
Bachelors in Computer Science, Engineering, or equivalent experience with graphics.

雇主简介

NVIDIA is a technology company that designs GPUs and system-on-chip units for gaming, professional visualization, data centers, and automotive markets. The Physics Simulation Team focuses on physics simulation for robotics learning and evaluation.

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数据来源:NVIDIA

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