Senior Deep Learning Infrastructure Engineer
NVIDIA has continuously reinvented itself over two decades. Our invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing. NVIDIA is a “learning machine” that constantly evolves by adapting to new opportunities which are hard to solve, that only we can pursue, and that matter to the world. This is our life’s work, to amplify human inventiveness and intelligence.
We are now looking for a Senior Deep Learning Infrastructure Engineer.
What you'll be doing:
Work towards building applications and developing infrastructure for a highly scalable deep learning platform.
Design, build, and maintain high bandwidth data-pipelines and related infrastructure, such as APIs, databases and services.
Work closely with domain experts, research teams and take ownership of productizing, releasing and maintaining deep learning products.
Be an engineering generalist. Discover and build skills needed at different times towards solving problems at hand.
What we need to see:
Bachelor’s/Master's degree in computer science, engineering, or related field (or equivalent experience)
Minimum 8 years of experience in services, pipelines, API development and system design.
Zeal to learn and perform beyond prior experience and expertise.
Ways to stand out from the crowd:
Experience in dev-ops, full-stack development, databases and cloud computing.
Strong fundamentals in machine learning.
NVIDIA is widely considered to be the leader of AI computing, and one of the technology world’s most desirable employers. We have some of the most forward-thinking and talented people in the world working for us. If you're creative and autonomous, we want to hear from you.The base salary range is $176,000 - $333,500. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions.