Principal Engineer, GenAI for Media and Gaming at NVIDIA

Santa Clara, California, United States

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Not SpecifiedCompensation

Senior (5 to 8 years), Expert & Leadership (9+ years)Experience Level

Full TimeJob Type

UnknownVisa

Gaming, MediaIndustries

Requirements

PhD or Master’s degree in Computer Science/Engineering, Machine Learning, AI, or related fields; or equivalent experience
12+ years of work experience with last 5+ years focused on language models, AI assistants, and agents
Proficiency in C, C++, and Python, with the ability to write high-performance production code
Experience with GPU programming, CUDA, and system optimizations (significant plus)
Track record of proven research excellence, demonstrated through presentations, demos, or publications at leading venues such as GDC, ICCV/ECCV, SIGGRAPH, or other research artifacts such as software projects or significant product development

Responsibilities

Use AI to solve product challenges in gaming and other interactive experiences
Build upon the latest research to create world-class conversational pipelines for AI assistants and agents
Improve and fine-tune language models and retrieval-augmented generation solutions for accuracy and performance
Build prototypes to demonstrate real-life applications of your ideas and to accelerate productization
Collaborate with NVIDIA's internal and external teams, including AI/DL researchers, hardware architects, and software engineers
Participate in technology transfers to and from teams across NVIDIA

Skills

C++

Python

CUDA

GPU programming

system optimizations

language models

conversational AI

fine-tuning

retrieval-augmented generation

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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