Production System Engineer Graduate

About the Role

ByteDance is looking for a motivated Production System Engineer passionate about Linux systems, server hardware, automation, AI infrastructure, and large-scale data center operations. This role offers opportunities to pursue bold ideas, tackle complex challenges, and unlock limitless growth.

Key Responsibilities

• Server Infrastructure Operations: Assist with the deployment, validation, monitoring, maintenance, and lifecycle management of large-scale server fleets, including CPU and GPU servers.
• Automation Development: Develop scripts, tools, and automation solutions using Python, Bash, Go, or other programming languages to reduce manual operational work and improve infrastructure efficiency.
• Linux Systems: Work with Linux-based production environments and help troubleshoot operating system, hardware, storage, networking, and performance-related issues.
• GPU and AI Infrastructure: Gain exposure to modern AI infrastructure and GPU server platforms, and contribute to operational tooling, validation, monitoring, or reliability improvements.
• Monitoring and Data Analysis: Analyze server health, hardware failures, operational metrics, and infrastructure data to identify trends, risks, and opportunities for improvement.
• AI for Infrastructure Operations: Explore opportunities to apply AI and large language models to infrastructure troubleshooting, automation, knowledge management, and operational decision-making.

Requirements & Tech Stack

• Passion for Linux systems, server hardware, automation, AI infrastructure, and large-scale data center operations.
• Experience working with experienced infrastructure engineers on real production challenges involving large-scale server fleets, GPU infrastructure, automation platforms, and AI-assisted operational tools.
• Ability to contribute to building automation, improving operational efficiency, troubleshooting production issues, and supporting the lifecycle management of servers deployed across ByteDance's global data centers.
• Python, Bash, Go
• Linux
• GPU
• AI
• Data Center Operations

Qualifications

Minimum Qualifications

• Individuals who are completing or have recently completed a Bachelor's or Master's degree in Computer Science, Computer Engineering, Electrical Engineering, Information Technology, or a related technical field.
• Experience in systems engineering, infrastructure operations, DevOps, Site Reliability Engineering, or related technical roles, or equivalent hands-on project experience.
• Solid understanding of Linux system (Debian or Ubuntu preferred) administration and troubleshooting.
• Programming or scripting experience in Python, Bash, Go, or another modern programming language.
• Understanding of operating systems, computer architecture, networking fundamentals, and storage systems.

Preferred Qualifications

• Experience developing automation tools or infrastructure software using Python, Bash, Go, or similar languages.
• Working with server hardware, PC building, homelabs, or data center infrastructure.
• Experience working with NVIDIA GPU platforms, AI infrastructure, CUDA, or high-performance computing environments.
• Applying networking fundamentals, including TCP/IP, DNS, DHCP, VLANs, and routing.
• Hands-on experience through internships, research, open-source projects, homelabs, technical competitions, or personal engineering projects.
• Experience with infrastructure monitoring, observability, logging, or telemetry platforms.
• Experience with Git, Docker, Kubernetes, REST APIs, SQL, or infrastructure automation frameworks such as Ansible.