Develop and enhance our ecosystem around GPU-accelerated computing including developing scalable automation solutions.
Continuously improve infrastructure provisioning, management, observability and day to day operation through automation.
Provide technical leadership and strategic guidance for managing large-scale HPC systems, including the deployment of compute, networking, and storage.
Foster strong customer and multi-functional partnerships to ensure consistent cluster support and rapidly adapt to evolving user needs.
Support our researchers to run their EDA workloads including performance analysis and optimizations.
Conduct root cause analysis and suggest corrective action.
Proactively find and fix issues before they occur.
Build innovative tooling to accelerate researchers' velocity, debugging and software performance at scale.

Requirements

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 managements 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 Enroot and Docker.
Proficiency in Python and Bash.
Experience analyzing and tuning performance for a variety of EDA workloads.
Excellent problem-solving to analyze 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.

Benefits

equity
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Applicant Tracking System Keywords

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Hard Skills & Tools

GPU-accelerated computingautomation solutionsHPC systemscluster configuration managementAI/HPC job schedulersMPINCCLLinuxPythonBash

Soft Skills

technical leadershipproblem-solvingcommunicationcollaborationcustomer partnershipstrategic guidanceroot cause analysisadaptabilityinnovationperformance analysis