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US - New York - New York
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Design and improve workload scheduling and fleet-management capabilities for large-scale compute environments. Collaborate with a global engineering team to tune kernel and network performance for latency-sensitive applications.
Requirements: Requires strong programming ability in Python, Go, or Rust and a computer science or related technical degree. Candidates should have up to five years of practical experience and curiosity about complex technology.
Key Skills: Python, Go, Rust, Linux, Networking, HPC, Storage, GPU Infrastructure, Data-center Hardware, Workload Scheduling, Fleet Management, Clustered File Systems, Kernel Tuning, Metrics Collection, Software Engineering, Systems Performance
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