Engineer

• **Key Responsibilities:**
• - Design, implement, and maintain scalable HPC infrastructure (cloud and on-prem) to support GBI’s computational research workloads.
• - Evaluate and integrate advanced technologies including GPU/TPU acceleration, high-speed interconnects, and parallel file systems.
• - Manage HPC environments, including Linux-based clusters, schedulers (e.g., Slurm), and high-performance storage systems (e.g., Lustre, BeeGFS, GPFS).
• - Implement robust monitoring, fault-tolerance, and capacity management for high availability and reliability.
• - Develop automation scripts and tools (Python, Bash, Ansible, Terraform, Go, Helm, etc) for provisioning, configuration, and scaling HPC resources.
• - Support reproducible research through containerization (Singularity, Docker, etc), workflow orchestration (Nextflow, Kubernetes, OpenHPC, etc), and MLOps.
• - Collaborate with researchers to address common bottlenecks in their scientific computing workflows.
• - Provide technical support and guidance for job scheduling, workflow optimization, and performance tuning.
• - Collaborate with information security teams to manage user access and protect sensitive research data.
• - *Additional responsibilities at the senior level:*
• - Work with the Head of Scientific Compute on long-term strategy and architecture for GBI’s computing platforms.
• - Collaborate with researchers to understand present and future computational needs and translate them into cloud and HPC requirements and operational policy.
• - Work with HPC and cloud vendors to ensure computational resources at GBI meet the needs of its researchers

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