HPC Systems Developer: Scheduling, Clusters & Kernel Tuning

Referment

New York (NY)

On-site

USD 120,000 - 180,000

Full time

3 days ago
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Job summary

Referment is seeking engineers to design and improve workload scheduling, fleet management, clustered file systems, and platform reliability for large-scale compute environments. The role involves tuning kernel and network performance, building metrics tooling, and collaborating with a global team supporting research and trading workloads.

Candidates should have strong programming ability in Python, Go, Rust, or a comparable language, and a computer science or related technical degree or up to

Qualifications

  • Strong programming ability in Python, Go, Rust, or comparable language.
  • Computer science or related technical degree or comparable practical experience of up to five years.
  • Curiosity, clear communication, and strong organizational and time-management skills.

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 Tuning
Metrics Collection
Distributed Computing
High-Performance Computing
Storage Infrastructure
GPU Infrastructure
Platform Reliability
Software Lifecycle Tooling

Education

Computer science degree or related technical degree

Job description

Referment is seeking engineers to design and improve workload scheduling, fleet management, clustered file systems, and platform reliability for large-scale compute environments. The role involves tuning kernel and network performance, building metrics tooling, and collaborating with a global team supporting research and trading workloads.

Candidates should have strong programming ability in Python, Go, Rust, or a comparable language, and a computer science or related technical degree or up to

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