Senior 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

Technology, Artificial Intelligence, SemiconductorsIndustries

Requirements

Bachelor's degree in Computer Science, Electrical Engineering, or a related technical field (or equivalent experience). A Master's degree is a plus
Deep expertise and 12+ years hands-on experience in a technical role such as a Technical Marketing Engineer, Solutions Architect, Sales Engineer, or a similar customer-facing technical position within the hardware, networking, or enterprise software industry
Hands-on experience deploying systems, networking, and storage in combination with Docker containers, Kubernetes, service-oriented architecture
Excellent balance of deep technical knowledge of how IT deploys solutions and how to introduce new capabilities
World-class communication skills with a proven ability to articulate a value proposition to technical and non-technical audiences
Work cross-functionally with engineering, research, developer relations, and go-to-market teams
Ability to manage concurrent projects and priorities in a dynamic environment

Responsibilities

Work with DGX product management to design, build, and document reference architectures and solutions that showcase the capabilities of our hardware in real-world customer environments, including hands-on lab work to validate performance, interoperability, and scalability
Develop a wide range of technical marketing collateral, including white papers, solution briefs, technical presentations, demonstration videos, and blog posts, to articulate the technical differentiation and value of our products
Act as the primary technical resource for our global sales and channel partners; develop and deliver compelling technical training, presentations, and demonstrations to enable them to effectively position and sell our solutions
Act as the voice of the customer and the field to the product management and engineering teams; provide valuable feedback on product features, functionality, and future roadmap direction based on market insights and customer interactions
Work on demos and support product positioning and messaging jointly with product marketing
Conduct in-depth technical analysis of competitive products and solutions; develop and maintain a repository of competitive intelligence to help position our products effectively

Skills

DGX

GPU Computing

Deep Learning

Reference Architectures

White Papers

Solution Briefs

Technical Presentations

Demonstration Videos

Blog Posts

Sales Training

Performance Validation

Interoperability

Scalability

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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