Director - Applied Neural Graphics, China at NVIDIA

Shanghai, China

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Not SpecifiedCompensation

Expert & Leadership (9+ years)Experience Level

Full TimeJob Type

UnknownVisa

Technology, AI, Computer GraphicsIndustries

Requirements

Degree in Computer Science, Computer Graphics, Machine Learning, or equivalent outstanding experience
12+ years of experience, including 6+ years leading teams
Deep connections in the neural graphics research community
Proven track record of building organizations and scaling teams in fast-paced technical domains
Strong understanding of ML frameworks, VLM architectures, and AI technologies with experience bringing them to production
Experience defining platform strategies with demonstrated research-to-product transfers and measurable business impact across global markets
Excellent interpersonal and communication skills to lead across research, product, and executive teams in both Chinese and English

Responsibilities

Establish and scale NVIDIA's neural graphics organization in China, building research and engineering teams
Define and implement neural graphics strategy for China and its integration into NVIDIA's graphics platform
Build strategic partnerships with China's leading VLM and neural graphics research institutions and talent
Lead recruitment of exceptional talent in neural rendering, vision-language models, and differentiable programming
Drive research-to-product pipeline, translating China's VLM innovations into shipping products and platforms globally
Architect system-level integration of neural graphics technologies across NVIDIA's platform ecosystem
Represent NVIDIA across the world's graphics and AI research community, establishing thought leadership
Partner with executive leadership to develop company-wide neural graphics strategy and roadmap

Skills

Neural Graphics

Neural Rendering

Vision-Language Models

VLM

Differentiable Programming

Computer Graphics

Research-to-Product

Team Building

Strategic Partnerships

System Architecture

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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