Systems Developer: HPC Scheduling & Clustered File Systems

Referment; New York (NY); On-site; USD 120,000 - 160,000; Full time

Job summary

Referment is seeking a skilled engineer to design and improve workload scheduling and fleet-management capabilities for large-scale compute environments. You will also contribute to clustered file-system operations and tune kernel and network performance for latency-sensitive applications.

The role requires strong programming in Python, Go, or Rust, and a computer science degree or equivalent practical experience. Expertise in Linux, networking, HPC, and storage will be highly valued.

Qualifications

• Strong programming ability in Python, Go, Rust or comparable language.
• A computer science or related technical degree, or up to five years of comparable practical experience.
• Experience with Linux, networking and HPC environments is a plus.

Responsibilities

• Design and improve workload scheduling and fleet-management capabilities for large-scale compute environments.
• Contribute to clustered file-system operations and tune kernel and network performance for latency-sensitive applications.

Skills

Python

Go

Rust

Linux

Networking

HPC

Storage

GPU infrastructure

Data-centre hardware

Workload scheduling

Fleet management

Clustered file systems

Kernel tuning

Software engineering

Distributed computing

Education

Bachelor's degree in CS or related field

Job description

Referment is seeking a skilled engineer to design and improve workload scheduling and fleet-management capabilities for large-scale compute environments. You will also contribute to clustered file-system operations and tune kernel and network performance for latency-sensitive applications.

The role requires strong programming in Python, Go, or Rust, and a computer science degree or equivalent practical experience. Expertise in Linux, networking, HPC, and storage will be highly valued.