Description
We are looking for a Data Center Network Deployment Engineer to join the Networking clusters solutions HPC/AI Infrastructure team. 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.
Deploy, manage and maintain large scale AI Data Centers, including control, network and storage stack. Work with multiple software and hardware teams to optimize the clusters networking health and performance. Develop and implement automation scripts for network, compute and storage operations and deployments. Supporting Research & Development activities and engaging in POCs/POVs for future improvements.
Key requirements include:
- B.Sc. in Engineering or CCNP certificate
- 8+ years of proficiency in networking fundamentals, configuring ethernet switches, understanding the TCP/IP stack, and data center architecture
- Excellent knowledge of Windows and Linux (Redhat/CentOS and Ubuntu) networking (sockets, firewalls, iptables, wireshark, etc.) and internals, ACLs and OS level security protection and common protocols e.g. TCP, DHCP, DNS, etc.
- Proactive individual with the ability to work independently, prioritizing tasks to optimize technology and enhance customer experience
- Provides ad-hoc knowledge transfers, develops handover materials, and offers deployment support for engagements
To stand out from the crowd, you should have:
- Combination of interpersonal skills and technical competence
- Knowledge of HPC and AI solution technologies from CPUs and GPUs to high speed interconnects and supporting software
- Experience with multiple storage solutions such as Lustre, GPFS, and newer and emerging storage technologies
- Automation tooling background (Ansible, Salt, Puppet etc.)
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!