Senior HPC DevOps Engineer

HPC/AI clusters with state-of-the-art monitoring, logging, and alerting systems.

• Infrastructure as Code (IaC): Utilize and develop tools to manage infrastructure as code, ensuring scalable and repeatable deployments.

• Streamline CI/CD Pipelines: Develop and maintain continuous integration and continuous delivery (CI/CD) pipelines to automate and streamline deployment processes.

• Automate Everything: Develop automation scripts and tools to automate deployment, configuration management, and operational monitoring.

• Enhance Monitoring: Deploy advanced monitoring solutions for servers, networks, and storage to ensure seamless operations.

• Troubleshoot Complex Issues: Perform comprehensive troubleshooting from bare metal to application level, ensuring system reliability and efficiency.

• Lead and Educate: Serve as a technical resource, developing and sharing best practices with internal teams.

• Drive Innovation: Support R&D activities and engage in proof of concepts (POCs) and proof of values (POVs) for future improvements.

What we need to see:

• B.Sc. in Computer Science, Engineering, or a related field with 5+ years of experience.

• Deep knowledge of HPC and AI solution technologies, including CPUs, GPUs, high-speed interconnects, and supporting software.

• Advanced proficiency in programming and scripting languages, with a solid understanding of object-oriented programming principles.

• Familiarity with Jenkins, Ansible, Puppet/Chef.

• Excellent knowledge of Windows and Linux (Redhat/CentOS and Ubuntu), networking and OS-level security.

• Deep understanding of networking protocols such as InfiniBand and Ethernet.

• Experience with job scheduling workloads and orchestration tools such as Slurm and Kubernetes.

• Experience with multiple storage solutions like Lustre, GPFS, ZFS, and XFS.

• Expertise with virtual systems (VMware, Hyper-V, KVM, Citrix).

• Familiarity with cloud platforms (AWS, Azure, Google Cloud).

Ways to stand out from the crowd:

• Architectural Insight: Knowledge of CPU and/or GPU architecture.

• Container Expertise: Understanding of Kubernetes and container-related microservice technologies.

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

• RDMA Fabrics: Background with RDMA (InfiniBand or RoCE) fabrics.

NVIDIA is at the forefront of breakthroughs in Artificial Intelligence, High-Performance Computing, and Visualization. Our teams are composed of driven, innovative professionals dedicated to pushing the boundaries of technology. We offer highly competitive salaries, an extensive benefits package, and a work environment that promotes diversity, inclusion, and flexibility. As an equal opportunity employer, we are committed to fostering a supportive and empowering workplace for all. .