Nvidia Senior Solutions Architect Cloud Infrastructure DevOps - NVIS 

Canada, British Columbia, Area A (Seymour Inlet/Knight Inlet) 

908140644

NVIDIA is looking for Senior CloudInfrastructure/DevOps

What you'll be doing:

• Design, implement and 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.

• Worldwide travel is required for on-site visits with customers.

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.

• 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. TCP, DHCP, DNS, etc.

• 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.