Quant Systems: Systems Developer (New York) (7B419E5)

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

Job summary

engineeringjobs.net, Inc. is seeking an engineer to design and improve workload scheduling and fleet-management solutions for large-scale compute environments. You will collaborate with a global engineering team to optimize kernel and network performance for latency-sensitive applications.

Proficiency in Python, Go, or Rust and a CS degree with up to five years of practical experience are required. This role focuses on scalable systems engineering, performance tuning, and data-center

Qualifications

• Strong programming ability in Python, Go, or Rust.
• Degree in CS or related technical field with up to five years of experience.

Responsibilities

• Design and improve workload scheduling and fleet-management capabilities for large-scale compute environments.
• Collaborate with a global engineering team to tune kernel and network performance for latency-sensitive applications.

Skills

Python

Go

Rust

Linux

Networking

HPC

Storage

GPU Infrastructure

Data-center Hardware

Workload Scheduling

Fleet Management

Clustered File Systems

Kernel Tuning

Metrics Collection

Software Engineering

Systems Performance

Education

Bachelor's degree in Computer Science or related technical field

Job description

Design and improve workload scheduling and fleet-management capabilities for large-scale compute environments. Collaborate with a global engineering team to tune kernel and network performance for latency-sensitive applications.

Requirements

Requires strong programming ability in Python, Go, or Rust and a computer science or related technical degree. Candidates should have up to five years of practical experience and curiosity about complex technology.

Key Skills

• Python
• Go
• Rust
• Linux
• Networking
• HPC
• Storage
• GPU Infrastructure
• Data-center Hardware
• Workload Scheduling
• Fleet Management
• Clustered File Systems
• Kernel Tuning
• Metrics Collection
• Software Engineering
• Systems Performance