Linux OS Engineer for Large-Scale Data Centers

ByteDance; San Jose (CA); On-site; USD 162,000 - 388,000; Full time

Job summary

ByteDance is seeking an experienced Operating System Engineer to develop the Linux OS for data center servers and adapt it to various server environments. You will collaborate with the global STE team across London, San Jose, and Singapore to develop, maintain, and improve the OS, testing, delivery, and maintenance systems for bare metal and cloud servers.

The role focuses on building massively fault-tolerant systems, troubleshooting at the OS level, and optimizing monitoring, deployment, and

Qualifications

• Bachelor's degree or higher in CS, CS Engineering, Electrical Engineering or related majors.
• Familiar with data structures, algorithms, multithreading, and server performance.
• Familiar with the operating system and IT.
• Proficient with Linux shell commands; familiar with C/C++, and languages such as Python/Go/Rust/CUDA.

Responsibilities

• Build and run large-scale, massively fault-tolerant systems; ensure critical external systems.
• Troubleshoot at the system software level (OS and components like storage, network).
• Improve and optimize automatic OS monitoring, deployment and upgrading.
• Support new platforms for CPUs, GPUs, networks and storage by evolving system software.
• Optimize AlOps tools for large-scale clusters.

Skills

Data structures

Algorithms

Multithreading

OS familiarity

Linux shell

C/C++

Python

Go

Rust

CUDA

Education

Bachelor's degree or higher in CS/CE/EE or related majors

Tools

Kubernetes

Systemd

glibc

Job description

ByteDance is seeking an experienced Operating System Engineer to develop the Linux OS for data center servers and adapt it to various server environments. You will collaborate with the global STE team across London, San Jose, and Singapore to develop, maintain, and improve the OS, testing, delivery, and maintenance systems for bare metal and cloud servers.

The role focuses on building massively fault-tolerant systems, troubleshooting at the OS level, and optimizing monitoring, deployment, and