Senior Solution Architect, Cloud Infrastructure - DevOps

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: 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, Data Science, Electrical/Computer Engineering, Physics, Mathematics, other Engineering fields with at least 8 years work or research experience in networking fundamentals, TCP/IP stack, and data center architecture.
• 5+ Years of Design, implement and maintain large scale HPC/AI clusters with monitoring, logging and alerting Manage Linux job/workload schedulers and orchestration tools.
• Knowledge of HPC and AI solution technologies from CPU’s and GPU’s to high speed interconnects and supporting software.
• Direct design, implementation and management experience with cloud computing platforms (e.g.
• AWS, Azure, Google Cloud).
• Experience with job scheduling workloads and orchestration technologies such as Slurm, Kubernetes and Singularity.
• Excellent knowledge of Windows and Linux (Redhat/CentOS and Ubuntu) networking (sockets, firewalld, iptables, wireshark, etc.) and internals, ACLs and OS level security protection and common protocols e.g.
• Experience with multiple storage solutions such as Lustre, GPFS, zfs and xfs.
• Familiarity with newer and emerging storage technologies.
• Python programming and bash scripting experience.
• Comfortable with automation and configuration management tools including Jenkins, Ansible, Puppet/Chef, etc.
• Deep knowledge of Networking Protocols like InfiniBand, Ethernet Deep understanding and experience with virtual systems (for example VMware, Hyper-V, KVM, or Citrix).
• Strong written, verbal, and listening skills in English are critical.
• 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.