NVIDIA

Designs the chips and software that power AI

HPC Operations Engineer

System AdministrationConfirmed live in the last 24 hours

Full-timeNo salary listedIn-person

About the Job

Requirements

A Bachelor of Science in Computer Science or a similar degree, or equivalent experience.
At least 2 years of experience coordinating CentOS/Red Hat Enterprise Linux distributions.
Understanding of container technologies such as Docker.
Proficiency in Python and UNIX scripting languages such as Bash.
Ability to analyze complex systems, identify bottlenecks, and implement scalable solutions.
Ability to collaborate and communicate effectively with teams and individuals with varied strengths.
Understanding of cluster configuration management tools such as Ansible.

Responsibilities

Troubleshoot incoming support requests in a large-scale high-performance computing environment.
Improve existing deployment automation, configuration management, observability, operational monitoring, and day-to-day operations through automation.
Ensure compute servers run an accurate operating system and configuration.
Resolve complex issues from bare metal through the application level to ensure system reliability and efficiency.
Collaborate with specialist teams to drive issues to closure.
Collaborate with domain experts to improve how the chip development process uses the infrastructure.
Contribute to overall quality and improve time to market for next-generation chips.

Desired Qualifications

Understanding of key Linux technologies including NFS, automounter, LDAP, DNS, and TCP/IP networking in Red Hat Linux distributions.
Familiarity with job scheduler administration, such as IBM Spectrum LSF or SLURM, and experience building or operating large-scale compute infrastructure.
Knowledge of the FlexLM license management system.
Proficiency in Perl for maintaining legacy automation scripts.
Familiarity with high-speed networking technologies such as InfiniBand, RDMA, and RoCE, and fast distributed storage systems such as Lustre and GPFS.

We are now looking for a HPC Operations Engineer to join our mission and continue improving our HPC infrastructure. A meaningful part of NVIDIA’s strength is our unique and advanced development tools and environments that enable our incredible pace of innovation. We are looking for architects to help us evolve the way our private compute cloud is architected and optimized.

What you’ll be doing:

Troubleshoot incoming support requests in a large-scale HPC environment.
Contribute improvements to existing deployment automation, configuration management, observability, and operational monitoring and day to day operation through automation.
Ensure compute servers are running an accurate Operating System and configuration.
Address Complex Issues: Perform comprehensive issue resolution from bare metal to application level, ensuring system reliability and efficiency.
Collaborate with specialist teams to drive issues to closure.
Collaborate with domain experts to improve how our chip development process utilizes our infrastructure.
Directly contribute to the overall quality and improve time to market for our next generation chips.

What we need to see:

BS in Computer Science or similar degree or equivalent experience
2+ years of experience Proficient in coordinating Centos/RHEL Linux distributions.
Understating of container technologies like Docker.
Proficiency in Python and UNIX scripting languages such as bash.
Excellent problem-solving skills, with the ability to analyze sophisticated systems, identify bottlenecks, and implement scalable solutions.
Excellent communication and teamwork skills, with the ability to work optimally with teams with varied strengths and individuals.
Proven understanding of cluster configuration managements tools such as Ansible.

Ways to stand out from the crowd:

Understanding of key Linux technologies such as NFS, automounter, LDAP, DNS, and TCP/IP networking in Red Hat Linux distribution flavors.
Familiarity with job scheduler administration (e.g. IBM Spectrum LSF or SLURM) and experience building/ operating large scale compute infrastructure.
Knowledge of the FlexLM license management system.
Proficiency in Perl for maintaining legacy automation scripts.
Familiarity with High-Speed Networking (InfiniBand, RDMA, RoCE etc.) and fast, distributed storage systems (Lustre, GPFS, etc.)

About the Company

NVIDIA

Designs the chips and software that power AI

NVIDIA designs the chips and software that power artificial intelligence and sells complete data center systems to cloud providers, AI labs, and other businesses, along with GeForce graphics cards for gamers. Its GPUs, chips that perform thousands of calculations at once, became the main hardware for AI after researchers used them to train the AlexNet image-recognition model in 2012. NVIDIA connects many GPUs with its own processors and networking gear into servers and rack-sized computers, and developers program them through its CUDA software. These systems bring in most of its sales, and it also makes chips for cars and robots. Jensen Huang co-founded NVIDIA in 1993, and it is based in Santa Clara, California.

Company size: 10,001+
Company stage: IPO
Headquarters: Santa Clara, CA
Founded: 1993

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