Systems Developer: HPC Scheduling & Platform Reliability

engineeringjobs.net, Inc.; New York (NY); On-site; USD 110,000 - 170,000; Full time

Job summary

engineeringjobs.net, Inc. is seeking engineers to design and improve workload scheduling, fleet management, and clustered file systems for large-scale compute environments.

You will investigate kernel and network performance, build metrics tooling, and collaborate with a global team supporting research workloads. The role requires strong programming ability in Python, Go, or Rust and a technical degree or equivalent experience, along with curiosity, organization, and time-management skills;

Qualifications

• Candidates should have strong programming ability in Python, Go, Rust, or a comparable language, along with a computer science or related technical degree or comparable practical experience.
• The role also calls for curiosity, communication, organization, and time-management skills; Linux, networking, HPC, storage, GPU infrastructure, or data-center hardware experience is desirable.

Responsibilities

• 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.

Skills

Python

Go

Rust

Linux Systems

Networking

Workload Scheduling

Fleet Management

Clustered File Systems

Kernel Performance

Network Performance Tuning

Metrics Collection

High-Performance Computing

Storage Infrastructure

GPU Infrastructure

Data-Center Hardware

Platform Reliability

Education

BS in Computer Science or related field

Job description

engineeringjobs.net, Inc. is seeking engineers to design and improve workload scheduling, fleet management, and clustered file systems for large-scale compute environments.

You will investigate kernel and network performance, build metrics tooling, and collaborate with a global team supporting research workloads. The role requires strong programming ability in Python, Go, or Rust and a technical degree or equivalent experience, along with curiosity, organization, and time-management skills;