Senior HPC Cluster Engineer

We are seeking a highly skilled and experienced HPC Cluster Engineer to design, deploy, and operate GPU Compute Clusters for EDA (Electronic Design Automation) and high-performance computing workloads used across multiple teams and projects.

As an HPC Cluster Engineer, you will be responsible for developing and enhancing our ecosystem around GPU-accelerated computing, including developing scalable automation solutions. You will continuously improve infrastructure provisioning, management, observability, and day-to-day operation through automation.

Key responsibilities include:

• Providing technical leadership and strategic guidance for managing large-scale HPC systems, including the deployment of compute, networking, and storage.
• Fostering strong customer and multi-functional partnerships to ensure consistent cluster support and rapidly adapt to evolving user needs.
• Supporting researchers to run their EDA workloads, including performance analysis and optimizations.
• Conducting root cause analysis and suggesting corrective action. Proactively finding and fixing issues before they occur.
• Building innovative tooling to accelerate researchers' velocity, debugging, and software performance at scale.

Requirements include:

• Bachelor's degree in Computer Science, Electrical Engineering, or related field or equivalent experience.
• Minimum of 5 years of proven experience crafting and operating large-scale compute infrastructure, including cluster configuration management tools such as BCM or Ansible.
• Experience with AI/HPC job schedulers and orchestrators, such as Slurm, LSF, PBS, or K8s. Applied experience with AI/HPC workflows that use MPI and NCCL.
• Proficient in using Linux, including Rocky/CentOS/RHEL, and/or Ubuntu Linux distributions. A solid understanding of container technologies such as Enroot and Docker.
• Proficiency in Python and Bash.
• Experience analysing and tuning performance for a variety of EDA workloads. Excellent problem-solving to analyse complex systems, identify bottlenecks, and implement scalable solutions.
• Excellent communication and collaboration skills, with the ability to work effectively with various teams and individuals.
• Passion for continual learning and staying ahead of new technologies and effective approaches in the HPC infrastructure fields.