Machine Learning Engineer, AI for Gaming at NVIDIA

Santa Clara, California, United States

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Not SpecifiedCompensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Gaming, TechnologyIndustries

Requirements

Bachelor's degree (or equivalent experience) or higher in Computer Science/Engineering or similar field
12+ years of proven experience in deep learning, computer vision, computer graphics, or related fields
Demonstrated background in algorithms and deep learning methods
Strong programming skills in PyTorch and C/C++
Experience working with distributed training, post-training, or inference pipelines for generative AI
Experience building real-world computer vision, AI, or graphics systems

Responsibilities

Apply and extend groundbreaking technologies in image and video generation, AI world models, and real-time computer graphics
Collaborate with AI researchers, graphics leaders across the company, and external partners like leading video game studios
Invent and productize generative AI technologies for future games and interactive experiences
Bring new experiences to gamers and creators, influence industry-wide APIs and systems, and shape future generations of GPU architectures

Skills

deep learning

computer vision

computer graphics

generative AI

image generation

video generation

AI world models

real-time computer graphics

algorithms

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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