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. 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.
As a Cloud Software Stack Solutions Architect you will help our customers and partners adopt end-to-end AI cloud solutions. Design, configure and deploy AI Training and Inference solutions in Public and Private Clouds based on groundbreaking NVIDIA technologies!
What you'll be doing:Build and deploy AI/ML solutions at scale using NVIDIA's AI software on cloud-based GPU platforms
Using your skills in AI, MLOps, ML engineering, DevOps, Kubernetes, and orchestration to deploy hybrid solutions
Deliver customer on-boarding sessions and technical and architecture presentations with NVIDIA AI, Cloud technologies and solutions
Run and own Proof of Concepts (PoCs), introducing NVIDIA Cloud Solutions and integrating them to new and existing accounts
Work with NVIDIA’s product and architecture teams by providing customer requirements, feedback and prioritization
BS/MS/PhD in Electrical/Computer Engineering, Computer Science, Physics, or other Engineering fields or equivalent experience
5+ years of working experience in DevOps roles in the areas of Cloud Computing, Cluster Orchestration or AI Workloads
In depth knowledge with orchestration platforms like Kubernetes, SLURM or OpenShift
Strong written and oral communication skills with the ability to optimally collaborate with customers, management and engineering
Strong time-management and organization skills for coordinating multiple initiatives, priorities and implementations of new technology and products into very complex projects
Good verbal communication and presentation skills in Japanese and English
Working experience with major cloud service providers (such as AWS, GCP and Azure), or with AI Datacenter Providers or HPC Datacenters
Expertise in Deep Learning and Machine Learning, with experience using deep learning frameworks such as TensorFlow or PyTorch
Familiarity of NVIDIA AI Software platform (NVCF, Lepton)
CKA - Certified Kubernetes Administrator
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/
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.
Similar Jobs
.png)
What We Do
NVIDIA’s 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 — with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. Today, NVIDIA is increasingly known as “the AI computing company.”
