Distributed Systems Engineer – HPC, Linux & Performance

Referment

New York (NY)

On-site

USD 110,000 - 190,000

Full time

3 days ago
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Job summary

Referment in New York, NY is seeking a software and systems engineer to design and improve workload scheduling, fleet management, and clustered file systems for large-scale compute environments. You will work on platform reliability, Linux kernel tuning, and performance monitoring as part of a global team supporting research and trading workloads.

The role requires strong programming skills in Python, Go, or Rust, plus a degree in CS or equivalent practical experience (up to five years).

Qualifications

  • BS in Computer Science or related field, or equivalent practical experience (up to 5 years).
  • Strong programming ability and clear communication, organisation, and time-management skills.
  • Desirable: Linux, networking, HPC, storage, GPU infrastructure, and data-center hardware experience.

Responsibilities

  • Design and improve workload scheduling and fleet management for large-scale compute environments.
  • Investigate and tune kernel and network performance; build infrastructure metrics tools; 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 Tuning
Metrics Collection
Distributed Computing
High-Performance Computing
Storage Infrastructure
GPU Infrastructure
Data-Center Hardware
Platform Reliability

Job description

Referment in New York, NY is seeking a software and systems engineer to design and improve workload scheduling, fleet management, and clustered file systems for large-scale compute environments. You will work on platform reliability, Linux kernel tuning, and performance monitoring as part of a global team supporting research and trading workloads.

The role requires strong programming skills in Python, Go, or Rust, plus a degree in CS or equivalent practical experience (up to five years).

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