Nvidia Senior Site Reliability Engineer - Storage 

United States, California 

372208141

What You'll Be Doing:

• Design, implement an on-prem HPC infrastructure supplemented with cloud computing to support the growing IT needs of NVIDIA.

• Design and implement advanced storage solutions, such as high-performance NFS, S3-compatible object storage, and distributed storage systems

• 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.

• Document the general procedures and practices, perform technology evaluations, related to distributed file systems.

• Collaborate across teams to better understand developers' workflows and gather their infrastructure requirements.

• Influence and guide methodologies for building, testing, and deploying applications to ensure optimal performance and resource utilization.

What we need see:

• BS in Computer Science (or equivalent experience) with 8+ years of relevant experience, MS with 5+ years of experience or Ph.D. with 3 years of experience

• Deep experience with storage protocols such as nfs, NVMe/TCP, S3 and Lustre (LNet)

• Experience with containerization technologies like Kubernetes and their integration with storage solutions

• Proficiency in one or more programming languages (Python, GO) is a must.

• Experience working with monitoring and configuration management tools such as Chef, Ansible, Puppet, Saltstack, etc

• Background with cloud infrastructure - AWS, Azure or Google Cloud.

• Experience with multiple monitoring stacks such as Prometheus+Grafana,Elasticsearch+Kibana.

• Excellent communication and collaboration skills.

Ways To Stand Out Of The Crowd:

• Knowledge of HPC and AI solution technologies from CPU’s and GPU’s to high speed interconnects and supporting software

• Experience with RDMA (InfiniBand or RoCE) fabrics

• Background with HPC cluster management tools such as Slurm, PBS, LSF, etc.

• Passionate and experienced in AI methodologies.