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US - New York - New York
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Design and improve workload scheduling, fleet management, clustered file systems, software lifecycle tooling, and platform reliability for large-scale compute environments. Investigate and tune kernel and network performance, build infrastructure metrics tools, and collaborate with a global team supporting research and trading workloads.
Requirements: Candidates should have strong programming ability in Python, Go, Rust, or a comparable language, plus a computer science or related technical degree or equivalent practical experience of up to five years. The role also calls for curiosity, communication, organization, and time-management skills; Linux, networking, HPC, storage, GPU infrastructure, and data-center hardware experience are desirable.
Key Skills: Python, Go, Rust, Linux Systems, Networking, Workload Scheduling, Fleet Management, Clustered File Systems, Software Lifecycle Tooling, Kernel Performance Tuning, Metrics Collection, Distributed Computing, High-Performance Computing, Storage Infrastructure, GPU Infrastructure, Data-Center Hardware
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