Senior Machine Learning Engineer, GenAI for Media and Gaming

United Kingdom

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Not SpecifiedCompensation

Expert & Leadership (9+ years)Experience Level

Full TimeJob Type

UnknownVisa

Gaming, Media and Entertainment, Professional Visualization, Artificial Intelligence, Computer HardwareIndustries

Requirements

Candidates must possess a Master's degree in computer science, engineering, Machine Learning, AI, or a related field, or have equivalent experience. A minimum of 12 years of experience in system engineering, optimization, machine learning engineering, or a related area is required. Proficiency in programming systems like C++ or CUDA, and rendering APIs such as DirectX or Vulkan is essential. A proven history of delivering complex products and technologies across multiple teams and functional areas is also necessary. Knowledge of application areas including real-time computer graphics, computer vision, and game development is required.

Responsibilities

The Senior Machine Learning Engineer will apply AI to solve product challenges in entertainment, gaming, and other interactive experiences. This role involves optimizing the latest AI models and research for real-time performance on NVIDIA hardware. Responsibilities include creating prototypes to showcase real-world applications and accelerate productization, staying current with AI/DL research, and collaborating with diverse internal and external teams. The engineer will also participate in technology transfers within NVIDIA.

Skills

Generative AI

Computer Vision

Computer Graphics

Augmented Reality

GPU Optimization

Machine Learning

Deep Learning

C++

CUDA

DirectX

Vulkan

Real-time Graphics

Game Development

System Engineering

Optimization

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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