Machine Learning Software Platform Architect - Nvidia

Widely considered to be one of the technology world’s most desirable employers, NVIDIA is an industry leader with groundbreaking developments in High-Performance Computing, Artificial Intelligence and Visualization. The GPU, our invention, serves as the visual cortex of modern computers and is at the heart of our products and services. Our work opens up new universes to explore, enables amazing creativity and discovery and powers what were once science fiction inventions from artificial intelligence to autonomous cars. NVIDIA is seeking a highly skilled and experienced Large Language Model (LLM) based Application Infrastructure engineer to join our growing team. The successful candidate will work at the intersection of GPU chip design and AI. You will be responsible for the design, development, and maintenance of the infrastructure around Nvidia's internal large language model aimed at facilitating chip design.

What you'll be doing:

What we need to see:

Ways to stand out from the crowd:

NVIDIA offers highly competitive salaries and a comprehensive benefits package. We have some of the most forward-thinking and hardworking people in the world working for us and, due to outstanding growth, our exclusive engineering teams are rapidly growing. Are you a creative and passionate about applying Machine Learning to solve remarkably interesting problems? Are you interested in being involved in state-of-the-art development in the field of AI & love a challenge? If so, we want to hear from you!

The base salary range is 148,000 USD - 339,250 USD. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions.

You will also be eligible for equity and benefits. NVIDIA accepts applications on an ongoing basis.

NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

Last updated: 23 hours ago

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