NVIDIA

Developer Advocate - Open Models and Inference

Spain

Not SpecifiedCompensation
Mid-level (3 to 4 years)Experience Level
Full TimeJob Type
UnknownVisa
Artificial Intelligence, Semiconductors, Computer HardwareIndustries

Position Overview

  • Location Type: Remote
  • Employment Type: Full Time
  • Salary: Not specified

As a Developer Advocate at NVIDIA, you will focus on educating developers about leveraging NVIDIA’s accelerated computing for Generative AI models. This role involves creating impactful content, engaging with the developer community, and demonstrating the capabilities of NVIDIA’s developer platform, including tools and frameworks like Hugging Face, PyTorch, langchain, vLLM, SLang, TensorRT-LLM, lama.cpp and llamaindex. The goal is to grow the developer ecosystem building applications on NVIDIA’s platform.

Requirements

  • Bachelor’s or Master’s degree in Computer Science from a leading university (or equivalent experience).
  • 3 to 5 years of engineering experience.
  • Familiarity with advances in Generative AI.
  • Experience building demo applications using popular community tools (e.g., Hugging Face, PyTorch, langchain, vLLM, SLang, TensorRT-LLM, lama.cpp and llamaindex).
  • Experience presenting to technical audiences and writing developer-facing content.
  • Ability to prioritize and work through rapidly changing projects.
  • Strong self-initiative, interpersonal skills, and interest in developing new technology.

Responsibilities

  • Create impactful and relevant content (demos, blogs, presentations, videos, etc.).
  • Engage with developers, researchers, and students at events (online or in person).
  • Develop Generative AI-powered applications that run on NVIDIA GPUs.
  • Deploy models on NVIDIA GPUs.
  • Collaborate with the developer advocacy and engineering teams to identify high-impact developer needs and design technical solutions.

Ways To Stand Out From The Crowd

  • Experience in understanding and using Generative AI tools and frameworks popular in the community.
  • Skilled in technical content creation (e.g., blog posts, tutorial videos).
  • Engaged involvement in developer communities.
  • Self-starter with the ability to prioritize work effectively.
  • Open and effective communication skills.

Company Information

NVIDIA is committed to fostering a diverse work environment and is an equal opportunity employer. We do not discriminate 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.

Skills

Generative AI
PyTorch
Hugging Face
Langchain
vLLM
SLang
TensorRT-LLM
lama.cpp
llamaindex
GPU
Demo Development
Developer Content Creation

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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