Technical Marketing Engineer at NVIDIA

Santa Clara, California, United States

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Not SpecifiedCompensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Artificial Intelligence, Technology, SemiconductorsIndustries

Requirements

Bachelor's Degree in a quantitative field (e.g., Computer Science, Applied Math, Computational Science, Machine Learning, etc.) or equivalent experience
12+ years of proven experience as a data scientist, data engineer, machine learning engineer, or similar role
Hands-on experience deploying AI infrastructure - servers, networking and storage
World-class interpersonal skills with a shown ability to articulate a value proposition to technical and non-technical audiences
Ability to manage concurrent projects and priorities in a multifaceted environment

Responsibilities

Work with product management in planning and execution of content creation and collateral development for DGX solutions
Collaborate with DGX partner ecosystem to build an integrated solution blueprint
Work with engineering and core infrastructure teams on technical architecture, API design, usage dashboards, security and enterprise readiness
Partner with UX teams in defining the end-to-end user journey from feature discovery to commercial adoption
Partner with Technical Marketing teams on demos and product marketing teams on product positioning and messaging
Support Sales & Partner Enablement – Develop training materials, sales enablement tools, and technical content to empower internal teams, partners, and customers
Perform technical competitive analysis of other offerings in the market

Skills

Key technologies and capabilities for this role

DGXGPU ComputingDeep LearningAIAPI DesignTechnical ArchitectureSecurityEnterprise ReadinessSales EnablementCompetitive AnalysisProduct MarketingUX

Questions & Answers

Common questions about this position

What is the base salary for this Technical Marketing Engineer position?

This information is not specified in the job description.

Is this Technical Marketing Engineer role remote or office-based?

This information is not specified in the job description.

What are the required qualifications for this role?

Candidates need a Bachelor's Degree in a quantitative field like Computer Science or equivalent, 12+ years of experience as a data scientist, data engineer, machine learning engineer or similar, hands-on experience deploying AI infrastructure including servers, networking and storage, world-class interpersonal skills, and ability to manage concurrent projects.

What is the company culture like at NVIDIA?

NVIDIA is widely considered one of the technology world’s most desirable employers with forward-thinking and hardworking people, valuing creative and self-starting individuals.

What makes a candidate stand out for this Technical Marketing Engineer position?

Stand out with hands-on Linux system administration experience, curiosity and drive to experiment with NVIDIA’s hardware and software, prior Technical Marketing roles with enterprise products, and strong programming skills with CUDA and GPU fundamentals.

NVIDIA

Designs GPUs and AI computing solutions

About NVIDIA

NVIDIA designs and manufactures graphics processing units (GPUs) and system on a chip units (SoCs) for various markets, including gaming, professional visualization, data centers, and automotive. Their products include GPUs tailored for gaming and professional use, as well as platforms for artificial intelligence (AI) and high-performance computing (HPC) that cater to developers, data scientists, and IT administrators. NVIDIA generates revenue through the sale of hardware, software solutions, and cloud-based services, such as NVIDIA CloudXR and NGC, which enhance experiences in AI, machine learning, and computer vision. What sets NVIDIA apart from competitors is its strong focus on research and development, allowing it to maintain a leadership position in a competitive market. The company's goal is to drive innovation and provide advanced solutions that meet the needs of a diverse clientele, including gamers, researchers, and enterprises.

Santa Clara, CaliforniaHeadquarters

1993Year Founded

$19.5MTotal Funding

IPOCompany Stage

Automotive & Transportation, Enterprise Software, AI & Machine Learning, GamingIndustries

10,001+Employees

Benefits

Company Equity

401(k) Company Match

Risks

Increased competition from AI startups like xAI could challenge NVIDIA's market position.

Serve Robotics' expansion may divert resources from NVIDIA's core GPU and AI businesses.

Integration of VinBrain may pose challenges and distract from NVIDIA's primary operations.

Differentiation

NVIDIA leads in AI and HPC solutions with cutting-edge GPU technology.

The company excels in diverse markets, including gaming, data centers, and autonomous vehicles.

NVIDIA's cloud services, like CloudXR, offer scalable solutions for AI and machine learning.

Upsides

Acquisition of VinBrain enhances NVIDIA's AI capabilities in the healthcare sector.

Investment in Nebius Group boosts NVIDIA's AI infrastructure and cloud platform offerings.

Serve Robotics' expansion, backed by NVIDIA, highlights growth in autonomous delivery services.

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