Senior CUDA Technical Marketing Engineer

Nvidia

Confirmed live yesterday High trust

Remote

Quick summary

Work type: Remote
Location: Santa Clara, CA
Salary: $148,000–$224,250 / yr
Posted: 57 days ago
Freshness: Confirmed live yesterday
Nearby: 99+ roles within 25 mi

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Salary context

Competitive pay

How this pay compares to similar roles

Similar $206k

This role $186k

$136k most similar roles pay here $256k

This role pays less than 65% of similar roles. Most pay $177,250–$235,750 — the shaded band above. At the midpoint, this role pays about $186k versus about $206k for comparable roles.

Based on 240 similar postings.

Employer

About Nvidia

Nvidia is a leading designer of graphics processing units (GPUs) and system-on-chip units, powering gaming, professional visualization, data centers, and artificial intelligence workloads. Industry: Semiconductors & AI Computing

Nvidia currently has 896 open roles on FindRole.

Listed pay typically runs $184,000–$287,500 across 876 roles with salary data.

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At a glance

TL;DR · Senior CUDA Technical Marketing Engineer

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As a Senior CUDA Technical Marketing Engineer, you will join the team to share the CUDA platform with the developer community. You will be responsible for creating and delivering technical content such as tutorials, guides, and blog posts while conducting workshops, webinars, and presentations to educate developers on building innovative solutions. Your role involves digging into new CUDA features to provide developer-centric insights that inform product development and roadmap decisions. You will collaborate with Product Management, Engineering, and Technical Sales teams to achieve business goals. The ideal candidate possesses an MS or PhD in a relevant field and has over five years of experience as a developer focused on GPU compute platforms. Required skills include proficiency in C++ and Python, along with the ability to communicate complex technical material effectively to diverse audiences.

Skills

CUDA NVIDIA GPU C++ Python GPU Compute open-source

What you'll do

Evaluate and experiment with new CUDA features to provide developer-centric insights for product development.
Create technical content including tutorials, guides, and blog posts to improve developer effectiveness.
Deliver technical workshops, webinars, and presentations to educate developers on the CUDA platform.
Capture market insights and developer feedback to inform product roadmap decisions and innovation opportunities.
Translate complex technical information into compelling content for the developer community.
Identify opportunities for differentiation based on deep analysis of GPU compute technologies.

What we're looking for

MS or PhD in Engineering, Mathematics, Physical Sciences, or Computer Science or equivalent experience.
5+ years of relevant work experience as a developer with a focus on GPU compute platforms.
Proficiency in C++ and Python programming languages.
Strong technical experience working within developer ecosystems.
Excellent communication skills for presenting highly technical material to others.
Ability to work collaboratively across multi-functional teams.
Self-motivated ability to work independently and multi-task with minimal direction.
Experience with CUDA and NVIDIA GPU technologies.

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