Senior Solutions Architect, Cloud Infrastructure and DevOps - NVIS

Overview

• NVIDIA is the world leader in computer graphics, artificial intelligence, and accelerated computing.
• For over 25 years, we have been at the forefront of research and engineering around the greatest advances in technology.
• Our history of innovation drives us to solve the worlds hardest problems.
• NVIDIA is looking for Senior Cloud Infrastructure/DevOps Solutions Architect to join its NVIDIA Infrastructure Specialist Team.
• Academic and commercial groups around the world are using NVIDIA products to revolutionize deep learning and data analytics, and to power data centers.
• Join the team building many of the largest and fastest AI/HPC systems in the world! We are looking for someone with the ability to work on a dynamic customer focused team that requires excellent interpersonal skills.
• This role will be interacting with customers, partners and internal teams, to analyze, define and implement large scale Networking projects.
• The scope of these efforts includes a combination of Networking, System Design and Automation and being the face to the customer! What you'll be doing: Maintain large scale HPC/AI clusters with monitoring, logging and alerting Manage Linux job/workload schedulers and orchestration tools.
• Develop and maintain continuous integration and delivery pipelines Develop tooling to automate deployment and management of large-scale infrastructure environments, to automate operational monitoring and alerting, and to enable self-service consumption of resources.
• Deploy monitoring solutions for the servers, network and storage.
• Perform troubleshooting bottom up from bare metal, operating system, software stack and application level.
• Being a technical resource, develop, re-define and document standard methodologies to share with internal teams Support Research & Development activities and engage in POCs/POVs for future improvements.
• What we need to see: BS/MS/PhD or equivalent experience in Computer Science, Electrical/Computer Engineering, Physics, Mathematics, or related fields.
• At least 8 years of professional experience in networking fundamentals, TCP/IP stack, and data center architecture.
• Knowledge of HPC and AI solution technologies, including CPUs, GPUs, high-speed interconnects, and supporting software.
• Extensive knowledge and hands-on experience with Kubernetes, including container orchestration for AI/ML workloads, resource scheduling, scaling, and integration with HPC environments.
• Experience in managing and installing HPC clusters, including deployment, optimization, and troubleshooting.
• Experience with job scheduling workloads and orchestration technologies such as Slurm, Kubernetes, and Singularity.
• Excellent knowledge of Windows and Linux systems (Redhat/CentOS and Ubuntu), including internals, ACLs, OS-level security protections, and common protocols like TCP, DHCP, DNS, etc.
• Experience with multiple storage solutions, including Lustre, GPFS, ZFS, and XFS.
• Familiarity with newer and emerging storage technologies is a plus.
• Proficiency in Python programming and bash scripting.
• Knowledge of CI/CD pipelines for software deployment and automation.
• Comfortable with automation and configuration management tools, including Jenkins, Ansible, Puppet/Chef, etc.
• Ability to communicate technical concepts and collaborate effectively with Japanese-speaking customers.
• Ways to stand out from the crowd: Knowledge of CPU and/or GPU architecture.
• Knowledge of Kubernetes, container related microservice technologies.
• Experience with GPU-focused hardware/software (DGX, CUDA.) Background with RDMA (InfiniBand or RoCE) fabrics.
• NVIDIA is widely considered to be one of the technology world’s most desirable employers.
• We have some of the most forward-thinking and hardworking individuals in the world working for us.
• If you're creative and autonomous, we want to hear from you.