Graduate Production Systems Engineer – Linux, GPU & AI

ByteDance; San Jose (CA); On-site; USD 76,000 - 128,000; Full time

Benefits offered by this job

Medical, dental, vision insurance

401(k) with company match

Paid parental leave

Paid time off

Job summary

ByteDance seeks a Production Systems Engineer to join our Server Management DevOps team. You will work on Linux-based production environments, manage large-scale GPU server platforms, and build automation to improve reliability and efficiency in our data centers.

As a graduate you will collaborate with hardware, software, and infrastructure teams, learn advanced AI infrastructure practices, and contribute to end-to-end lifecycle management of servers across ByteDance's global data centers.

Qualifications

• Bachelor's or Master's degree in Computer Science, Computer Engineering, Electrical Engineering, Information Technology, or related field.
• Experience in systems engineering, infrastructure operations, DevOps, SRE, or related roles.
• Solid understanding of Linux system administration (Debian/Ubuntu preferred) and troubleshooting.
• Programming or scripting experience in Python, Bash, Go, or similar.
• Understanding of OS, computer architecture, networking fundamentals, and storage systems.

Responsibilities

• Server Infrastructure Operations: deploy, validate, monitor, maintain, and lifecycle-manage large-scale server fleets (CPU & GPU).
• Automation Development: create scripts and tools to reduce manual work and boost efficiency.
• Linux Systems: troubleshoot OS, hardware, storage, networking, and performance issues.
• GPU and AI Infrastructure: work with GPU platforms and AI tooling to improve reliability.
• Monitoring and Data Analysis: review health metrics and infrastructure data to identify trends and risks.
• AI for Infrastructure Operations: explore applying AI/LLMs to troubleshooting and automation.

Skills

Linux admin

Python scripting

Go programming

Networking basics

Hardware knowledge

Education

Bachelor's or Master's in CS/CE/IT

Tools

Docker

Kubernetes

CUDA

REST APIs

Job description

ByteDance seeks a Production Systems Engineer to join our Server Management DevOps team. You will work on Linux-based production environments, manage large-scale GPU server platforms, and build automation to improve reliability and efficiency in our data centers.

As a graduate you will collaborate with hardware, software, and infrastructure teams, learn advanced AI infrastructure practices, and contribute to end-to-end lifecycle management of servers across ByteDance's global data centers.