Nvidia Senior Solutions Architect Cloud Infrastructure DevOps - NVIS 

Taiwan, Taipei 

467972800

NVIDIA is looking for Senior CloudInfrastructure/DevOps

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.

• Excellent knowledge of 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.

• Comfortable with automation and configuration management tools, including Jenkins, Ansible, Puppet/Chef, etc.

Ways to stand out from the crowd:

• Knowledge of CI/CD pipelines for software deployment and automation.

• Knowledge of Kubernetes, container related microservice technologies.

• Experience with GPU-focused hardware/software (DGX, CUDA.)

• Background with RDMA (InfiniBand or RoCE) fabrics.