Engineering Manager, 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, Media, EntertainmentIndustries

Requirements

Masters in computer science/engineering, Machine Learning, AI, and related fields (or equivalent experience)
12+ overall years of system engineering, machine learning engineering, or related experience
5+ years of experience leading multiple software engineering projects
Excellent verbal, written and presentation communications skills, organizational capabilities, and collaborative and interpersonal skills
Knowledge of application areas such as conversational AI, LLMs, real-time computer graphics, and game development
A proven track record of delivering complex products and technologies spanning multiple teams and functional areas

Responsibilities

Plan, schedule, mentor, and lead the execution of projects and activities of the team
Mentor, grow and develop a world-class team of DL engineers
Collaborate with internal customers to align priorities across business units
Use AI for solving product problems in gaming, entertainment, and other interactive experiences
Create prototypes to demonstrate real-life applications of your ideas and to accelerate productization
Participate in technology transfers to and from teams across NVIDIA

Skills

Key technologies and capabilities for this role

Generative AIComputer VisionComputer GraphicsGPU OptimizationDeep LearningLLMsGame DevelopmentMachine Learning Engineering

Questions & Answers

Common questions about this position

What are the salary and benefits like for this role?

NVIDIA offers competitive salaries and a generous benefits package.

Is this position remote or does it require working in an office?

This information is not specified in the job description.

What qualifications and skills are required for this Engineering Manager role?

Candidates need a Masters in computer science/engineering, Machine Learning, AI or related fields (or equivalent), 12+ years of system engineering, machine learning engineering or related experience, 5+ years leading multiple software engineering projects, excellent communication and organizational skills, and knowledge of areas like conversational AI, LLMs, real-time computer graphics, and game development.

What is the team and culture like at NVIDIA for this role?

You will mentor, grow, and develop a world-class team of DL engineers, collaborate with internal customers and teams across NVIDIA, and work on pioneering technologies in GenAI for gaming, media, and entertainment.

What makes a strong candidate for this Engineering Manager position?

A strong candidate has a proven track record of delivering complex products and technologies spanning multiple teams and functional areas, along with experience leading software engineering projects and knowledge in AI applications for gaming and graphics.

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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