Job Description

In this role, you will ensure the reliability, performance, and scalability of our critical HPC systems and infrastructure. You will work closely with engineering, infrastructure, and operations teams to design, implement, and manage systems that support compute-intensive workloads, enabling cutting-edge research, simulations, and data processing.

In your new role you will:


System Reliability and Performance


Ensure reliability, availability, and performance of High Performance Computing systems. Identify and mitigate bottlenecks in HPC clusters, interconnects, and storage systems. Proactively develop monitoring and alerting systems to anticipate and reduce downtime

Automation and Infrastructure as Code (IaC)

Automate system deployment, configuration, and maintenance processes for HPC clusters. Implement Infrastructure as Code (IaC) using tools such as Terraform, Ansible, or similar. Develop self-healing and automated recovery mechanisms to minimize manual intervention.

Incident Management and Troubleshooting

Respond to HPC system incidents, conduct root cause analysis, and implement preventive measures. Create and maintain comprehensive runbooks and playbooks for handling predictable issues.

System and Software Optimization

Collaborate with engineering teams to optimize workloads, schedulers(LSF), and resource allocations for maximum efficiency. Test, benchmark, and optimize hardware and software configurations in collaboration with vendors

Collaboration and Communication

Act as a bridge between software development and operations teams to ensure smooth deployment of HPC workloads. Provide training, documentation, and guidance to users and stakeholders.

Research and Continuous Improvement

Stay updated on the latest HPC technologies and trends, including GPUs, accelerators, and interconnects like InfiniBand. Propose and implement innovative solutions to improve the efficiency and scalability of HPC environments.

Your Profile

You are best equipped for this task if you have:


Bachelor's or Master's degree in Computer Science, Engineering, or a related technical field. Equivalent experience will also be considered. Proven experience in managing and optimizing HPC clusters and associated resources (compute nodes, storage, and interconnects). Expertise with workload managers and job schedulers like LSF. Strong programming or scripting skills in languages such as Python,Bash, or Go. Proficiency in Linux system administration (RHEL, CentOS, Ubuntu) and networking. Familiarity with containerization technologies such as Docker and Kubernetes for HPC workloads. Experience with monitoring tools (e.g., Prometheus, Grafana, Nagios) and log management tools (e.g., ELK stack). Strong problem-solving skills with attention to detail. Excellent communication and teamwork skills, with the ability to collaborate across multi-disciplinary teams. Ability to prioritize tasks effectively in a dynamic and fast-paced environment Understanding of DevOps principles and practices, including CI/CD pipelines. Knowledge of security principles and best practices in HPC environments Certifications such as RHCE

Contact:

Pooja.AnandaChowta@infineon.com

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Are you in?

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