engineeringjobs.net, Inc. seeks a skilled engineer to design and enhance workload scheduling, fleet management, and clustered file systems for large-scale compute environments. You will build tooling for software lifecycles and platform reliability, and tune kernel and network performance while creating metrics tools.
A global collaborative team supports research and trading workloads. The role requires strong programming in Python/Go/Rust, plus a CS degree or equivalent experience up to five
#J-18808-LjbffrSystems Developer: HPC, Kernel Tuning & Distributed Platforms in new york at Unknown Company
This position is listed as full time and onsite.