AI Infrastructure Delivery Engineer - Graduate

Pangle; San Jose (CA); On-site; USD 100,000 - 140,000; Full time

Job summary

ByteDance's Global Server Delivery team seeks graduates to join the Infrastructure group in San Jose to deploy and scale next-generation CPU and GPU servers across data centers. You will collaborate across hardware, networking, facilities, supply chain, software and operations to support AI and cloud services.

You will learn server architecture, participate in NPI, capacity planning, and deployment readiness, and apply AI tools to automate planning, analyze large data sets, and derive actionable

Qualifications

• Bachelor's or Master's degree in Computer Science or a similar technical field, or equivalent practical experience.
• Strong analytical and problem-solving skills.
• Curious mindset with willingness to learn complex systems.
• Good communication and teamwork skills.
• Comfortable working with data and solving engineering problems.

Responsibilities

• Deploy and scale CPU and GPU server platforms across global data centers.
• Analyze power, capacity, cooling to optimize data center infrastructure.
• Coordinate cross-functional teams to ensure deployment readiness.
• Apply AI tools to automate planning and generate operational insights.
• Collaborate with hardware, networking, facilities, supply chain, software, and operations teams.

Skills

Analytical thinking

Problem-solving

Curious mindset

Communication

Teamwork

Data-driven

Education

Bachelor's or Master's degree in Computer Science or equivalent practical experience

Tools

Python

SQL

Scripting languages

Excel

AI tools

Cloud computing

Data center infrastructure

Server hardware

Job description

ByteDance's Global Server Delivery team seeks graduates to join the Infrastructure group in San Jose to deploy and scale next-generation CPU and GPU servers across data centers. You will collaborate across hardware, networking, facilities, supply chain, software and operations to support AI and cloud services.

You will learn server architecture, participate in NPI, capacity planning, and deployment readiness, and apply AI tools to automate planning, analyze large data sets, and derive actionable