Principal Engineer, Neural Graphics at NVIDIA

Santa Clara, California, United States

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Not SpecifiedCompensation

Expert & Leadership (9+ years)Experience Level

Full TimeJob Type

UnknownVisa

Technology, Artificial Intelligence, Computer GraphicsIndustries

Requirements

Degree in Computer Science, Computer Graphics, Machine Learning, or equivalent experience
15+ years of proven experience with a sustained history of remarkable technical contributions, or equivalent outstanding achievements
Extensive knowledge of real-time rendering, neural networks, and physics simulation
Background in world models, neural content generation, or AI technologies redefining entertainment, graphics, and media creation
Track record of successful technology transfers from research to shipping products
Proven track record to lead complex technical projects across teams and take research from concept to production

Responsibilities

Define and drive NVIDIA's Neural Graphics technology strategy, setting company-level technical directions for AI-driven rendering
Pioneer state-of-the-art neural shading techniques that integrate with traditional graphics pipelines
Connect research and product teams to develop modern concepts into production-ready technologies
Drive progress in AI innovation for real-time graphics and simulation technologies
Collaborate across teams to influence hardware design and establish technical standards for neural shading
Drive patent development and IP strategy while making technical decisions crucial to major product success

Skills

Key technologies and capabilities for this role

Neural ShadingGenerative AIComputer GraphicsGPUSlangReal-time GraphicsGraphics PipelinesSimulation TechnologiesAI Rendering

Questions & Answers

Common questions about this position

What experience level is required for this Principal Engineer role?

The role requires 15+ years of proven experience with a sustained history of remarkable technical contributions, or equivalent outstanding achievements.

What are the key skills needed for this position?

Candidates need extensive knowledge of real-time rendering, neural networks, and physics simulation, plus a background in world models, neural content generation, or AI technologies, along with a track record of technology transfers from research to products.

What education is required for this role?

A degree in Computer Science, Computer Graphics, Machine Learning, or equivalent experience is required.

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

This information is not specified in the job description.

What is the salary or compensation for this role?

This information is not specified in the job description.

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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