Graduate Production Systems Engineer - Linux, GPU & AI Ops

Pangle; San Jose, Northern (CA, KY); Hybrid; USD 120,000 - 180,000; Full time

Job summary

ByteDance is seeking a Production Systems Engineer to join the Infrastructure team in San Jose. You will work on Linux-based production environments, large-scale server fleets, and AI infrastructure to improve reliability and efficiency.

Candidates will contribute to automation, monitoring, and lifecycle management across data centers, with opportunities to apply AI techniques and collaborate across cross-functional teams.

Qualifications

• Bachelor's or Master's degree in a related technical field.
• Experience in systems engineering, infra operations, DevOps, SRE, or related roles.
• Solid understanding of Linux administration and troubleshooting.
• Programming or scripting experience in Python, Bash, Go, or similar.
• Understanding of operating systems, architectures, networking, and storage.

Responsibilities

• Server infrastructure operations for large-scale fleets, including CPU and GPU servers.
• Develop automation tools and scripts to reduce manual work.
• Troubleshoot Linux-based production environments and hardware issues.
• Gain exposure to AI infrastructure and GPU server platforms.
• Analyze health metrics and infrastructure data to identify risks and opportunities.
• Explore applying AI/LLMs to infrastructure troubleshooting and automation.
• Demonstrate strong analytical and problem-solving skills.
• Collaborate across cross-functional engineering teams.

Skills

Linux

Python

Bash

Go

Networking

Git

Docker

Kubernetes

SRE

AI infra

Education

Bachelor's degree

Master's degree

Tools

CUDA

REST APIs

SQL

Ansible

Docker

Job description

ByteDance is seeking a Production Systems Engineer to join the Infrastructure team in San Jose. You will work on Linux-based production environments, large-scale server fleets, and AI infrastructure to improve reliability and efficiency.

Candidates will contribute to automation, monitoring, and lifecycle management across data centers, with opportunities to apply AI techniques and collaborate across cross-functional teams.