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 that are hard to solve, that only we can tackle, and that matter to the world. This is our life’s work, to amplify human imagination and intelligence. Make the choice to join us today!
As a member of the GPU AI/HPC Infrastructure team, you will provide leadership in the design and implementation of ground breaking GPU compute clusters that run demanding deep learning, high performance computing, and computationally intensive workloads. We seek an expert to identify architectural changes and/or completely new approaches for our GPU Compute Clusters. As an expert, you will help us with the strategic challenges we encounter including: compute, networking, and storage design for large scale, high performance workloads, effective resource utilization in a heterogeneous compute environment, evolving our private/public cloud strategy, capacity modeling, and growth planning across our global computing environment.
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 brilliant and talented people in the world working for us and, due to unprecedented growth, our world-class engineering teams are growing fast. If you’re a creative and autonomous engineer with real passion for technology, 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.
Minimum qualifications: Bachelor’s degree in Electrical Engineering, Computer Engineering, Computer Science, a related field, or equivalent practical experience. 10 years...
How to applyProject Role : AI / ML EngineerProject Role Description : Develops applications and systems that utilize AI tools, Cloud AI...
How to applyPosition Summary… What you’ll do… Do you like building ML based payment and restricted spend platforms that have a multi-billion...
How to applyAbout FullStack The Position What We Are Looking For Bachelor’s or Master’s degree in Computer Science, Engineering, Artificial Intelligence, Machine...
How to applyDescription 10+ years relevant technical work experience, at least 3+ developing and implementing Conversational AI. Experience with Conversational AI projects...
How to applyOutlier helps the world’s most innovative companies improve their AI models by providing human feedback. Are you an experienced software...
How to apply