Technical Marketing Engineer - AI Platform Software at NVIDIA

Santa Clara, California, United States

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Not SpecifiedCompensation

Mid-level (3 to 4 years), Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Technology, AIIndustries

Requirements

Bachelor’s degree in Computer Science, Computer Engineering, or similar field or equivalent experience
5+ years of meaningful work experience in software development, technical evangelism, technical marketing, developer marketing, or similar at a technology company
3+ years of experience with deep learning or machine learning
Strong knowledge of Python or C/C++, programming techniques, and software development
Strength presenting to technical audiences and generating content for developers
Prior success in juggling multiple projects at a time

Responsibilities

Collaborating with internal and external deep learning engineers and researchers to build product-based training material and how-to technical content
Being the champion for AI among the NVIDIA developer community by interacting and answering questions about the product on Github and other forums
Improving product documentations to be clear and self-explanatory
Facilitating channel customer usability feedback from the external community and partnering with internal teams to improve NVIDIA AI Platforms to be the easiest to use
Providing code guidelines to DL developers by implementing samples and proof of concept applications
Benchmarking and generating data for better positioning of NVIDIA's SW product

Skills

Key technologies and capabilities for this role

PythonC/C++Deep LearningMachine LearningSoftware DevelopmentTechnical WritingBenchmarkingGitHubTechnical EvangelismDeveloper Marketing

Questions & Answers

Common questions about this position

What is the salary range for this position?

The base salary range is 128,000 USD - 201,250 USD for Level 3, and 160,000 USD - 253,000 USD for Level 4, determined based on location, experience, and pay of employees in similar positions. You will also be eligible for equity and benefits.

Is this a remote position or does it require office work?

This is a hybrid role, indicated by the #LI-Hybrid tag.

What skills and experience are required for this role?

A Bachelor’s degree in Computer Science or similar, 5+ years in software development, technical evangelism, or similar, 3+ years with deep learning or machine learning, strong knowledge of Python or C/C++, and experience presenting to technical audiences are required.

What is the company culture like at NVIDIA?

NVIDIA is committed to fostering a diverse work environment and is proud to be an equal opportunity employer, valuing diversity in employees and not discriminating in hiring or promotion practices.

What makes a candidate stand out for this role?

Candidates stand out with advanced knowledge of LLMs, modern AI software architecture and cloud APIs, existing public-facing technical content, forum contributions or open source projects, and familiarity with PyTorch, JAX, vLLM or other training & inference frameworks.

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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