Senior HPC AI Cluster Engineer

ppNVIDIA is looking for an experienced HPC-AI Engineer to join the Networking Clusters Solutions Infrastructure team. we are focused on building supercomputers and AI clusters based on groundbreaking technologies. We are looking for an outstanding engineer, be a key player to the most exciting computing hardware and software to contribute to the latest breakthroughs in artificial intelligence and GPU computing. Provide insights on at-scale system design and tuning mechanisms for large-scale compute runs. You will work with the latest Accelerated computing and Deep Learning software and hardware platforms, and with many scientific researchers, developers, and customers to craft improved workflows and develop new, leading differentiated solutions. You will interact with HPC, OS, GPU compute, and systems specialist to architect, develop and bring up large scale performance platforms. /ph3What you will be doing: /h3ulliDesign, implement and maintain large scale HPC/AI clusters with monitoring, logging and alerting /liliManage Linux job/workload schedules and orchestration tools /liliDevelop and maintain continuous integration and delivery pipelines /liliDevelop 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 /liliDeploy monitoring solutions for the servers, network and storage /liliPerform troubleshooting bottom up from bare metal, operating system, software stack and application level /liliBeing a technical resource, develop, re-define and document standard methodologies to share with internal teams /liliSupport Research Development activities and engage in POCs/POVs for future improvements /li /ulh3What we need to see: /h3ulliA degree in Computer Science, Engineering, or a related field and 8+ years of experience /liliKnowledge of HPC and AI solution technologies from CPU’s and GPU’s to high speed interconnects and supporting software /liliExperience with job scheduling workloads and orchestration tools such as Slurm, K8s /liliExcellent 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. /liliExperience with multiple storage solutions such as Lustre, GPFS, Weka.io. Familiarity with newer and emerging storage technologies. /liliPython programming and bash scripting experience. /liliComfortable with automation and configuration management tools such as Jenkins, Ansible, Puppet/chef /liliDeep knowledge of Networking Protocols like InfiniBand, Ethernet /liliDeep understanding and experience with virtual systems (for example VMware, Hyper-V, KVM, or Citrix) /liliFamiliarity with cloud computing platforms (e.g. AWS, Azure, Google Cloud) /li /ulh3Ways to stand out from the crowd: /h3ulliKnowledge of CPU and/or GPU architecture /liliKnowledge of Kubernetes, container related microservice technologies /liliExperience with GPU-focused hardware/software (DGX, Cuda) /liliExperience with RDMA (InfiniBand or RoCE) fabrics /li /ulpWe are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, sex, gender, gender expression, sexual orientation, age, marital status, veteran status, or disability status. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation. /p /p #J-18808-Ljbffr