Senior Machine Learning Graphics Engineer, AI...

NVIDIA Ltd.
Santa Clara, United States of America
2 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Senior
Compensation
$ 224K

Job location

Santa Clara, United States of America

Tech stack

Artificial Intelligence
Computer Vision
C++
Nvidia CUDA
Computer Programming
Computer Graphics
Video Game Development
Python
Machine Learning
TensorFlow
Speech Recognition
Graphics Processing Unit (GPU)
PyTorch
Deep Learning
Information Technology

Requirements

  • Master's in computer science/engineering, Machine Learning, AI, and related fields (or equivalent experience)

  • 12+ years of machine learning / deep learning research or work experience

  • Knowledge of application areas such as real-time computer graphics, CV, and game development.

  • Expertise with programming systems such as Python, C+, CUDA, and deep learning frameworks such as TensorFlow and PyTorch. Very strong programming skills.

  • A proven track record of delivering complex products and technologies spanning multiple teams and functional areas.

Intelligent machines powered by AI computers that can learn, reason, and interact with people are no longer science fiction. Image recognition and speech recognition - GPU deep learning has provided the foundation for machines to learn, perceive, reason, and solve problems. The GPU started out as the engine for simulating human imagination, conjuring up the amazing virtual worlds of video games and Hollywood films. Now, NVIDIA's GPU runs deep learning algorithms, simulating human intelligence, and acts as the brain of computers, robots and self-driving cars that can perceive and understand the world. Just as human imagination and intelligence are linked, computer graphics and artificial intelligence come together in our architecture. Two modes of the human brain, two modes of the GPU. This may explain why NVIDIA GPUs are used broadly for deep learning, and NVIDIA is known as "the AI computing company."

Benefits & conditions

Widely considered to be one of the technology world's most desirable employers, NVIDIA offers highly competitive salaries and a comprehensive benefits package. As you plan your future, see what we can offer to you and your family www.nvidiabenefits.com

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 224,000 USD - 356,500 USD for Level 5, and 272,000 USD - 431,250 USD for Level 6.

You will also be eligible for equity and benefits (https://www.nvidia.com/en-us/benefits/) .

About the company

NVIDIA (Santa Clara, CA) NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It's a unique legacy of innovation that's fueled by great technology-and amazing people. Today, we're tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what's never been done before takes vision, innovation, and the world's best talent. As an NVIDIAN, you'll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join the team and see how you can make a lasting impact on the world. NVIDIA is searching for a world-class engineer in graphics and AI to join our neural graphics product team. If you agree with us that the most exciting thing about the AI revolution is applying it to solve real problems, this team will be an excellent fit for you! We are passionate about applications in generative AI, gaming, augmented reality, user-generated content, computer vision, and other areas, with the goal of improving visual fidelity, gameplay, or other domains within the gaming and pro-visualization markets. Working with other teams throughout the company, you will productize promising research, as well as develop new features through your own work. What you'll be doing: + Use AI for solving product problems in gaming and other interactive experiences. + Build upon the latest research to create new models and invent new ways of applying AI to advance neural graphics and gaming.

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