
Responsibilities
The Global Server Delivery team builds and scales the physical infrastructure that powers the next generation of AI. Every year, we deploy gigawatts (GW) of compute capacity across global data centers, delivering thousands of CPU and GPU servers to support large-scale AI and cloud services. Our team owns the end-to-end delivery lifecycle, including new platform introduction, infrastructure planning, power and cooling optimization, deployment execution, and operational readiness. We focus on maximizing power utilization, improving delivery efficiency, and ensuring the highest standards of quality and reliability. By combining engineering expertise with AI-driven analytics and automation, we continuously optimize infrastructure planning and operations at global scale. We are looking for talented individuals to join our team. As a graduate, you will get opportunities to pursue bold ideas, tackle complex challenges, and unlock limitless growth. Successful candidates must be able to commit to an onboarding date by the end of the year. Please state your availability and graduation date clearly in your resume. Candidates can apply to a maximum of two positions and will be considered for jobs in the order you apply. The application limit is applicable to our Company and its affiliates' jobs globally. Applications will be reviewed on a rolling basis - we encourage you to apply early. You will work at the intersection of AI infrastructure, large-scale server deployment, data center engineering, and intelligent operations. This role offers the opportunity to participate in the deployment of next-generation AI/GPU clusters that power large-scale cloud and AI services. Rather than focusing on a single discipline, you will collaborate with hardware, networking, facilities, supply chain, software, and operations teams to deliver thousands of servers into production efficiently and reliably. As AI becomes an essential engineering tool, you will also leverage AI technologies to automate planning, perform large-scale data analysis, generate operational insights, and improve engineering productivity. Key Responsibilities - AI Infrastructure Delivery: Participate in the deployment of next-generation CPU and GPU server platforms. Learn server architecture, hardware components, power characteristics, and deployment requirements. Support new platform introduction (NPI), system compatibility validation, and deployment readiness. Assist in large-scale server rollout projects across global data centers. - Capacity Planning & Engineering Analysis: Analyze server power consumption, rack capacity, cooling requirements, and infrastructure utilization. Support capacity planning for data centers based on electrical and thermal constraints. Build analytical models to optimize rack layouts, deployment efficiency, and resource utilization. Identify operational risks and recommend engineering improvements. - Project & Operations Management: Coordinate cross-functional teams including engineering, supply chain, facilities, vendors, and operations. Track project schedules, deployment milestones, and delivery quality. - Manage deployment readiness, installation progress, and engineering documentation. Support material planning and accessory management for large-scale deployments. - AI-driven Engineering: Apply AI tools to improve engineering workflows. Use AI to automate data processing, reporting, documentation, and root cause analysis. Analyze millions of operational records to identify trends, anomalies, and optimization opportunities. Explore AI-assisted capacity forecasting, deployment planning, and intelligent operations.
Qualifications
Minimum Qualifications - Individuals who are completing or have recently completed a Bachelor's or Master's degree in Computer Science, a similar technical field of study, 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. Preferred Qualifications Experience in one or more of the following is a plus: - Python, SQL, or scripting languages - Excel data analysis and visualization - AI tools - Data center infrastructure - Server hardware - Cloud computing
Job Information
【For Pay Transparency】Compensation Description (Annually)
The base salary range for this position in the selected city is $76000 - $128000 annually.
Compensation may vary outside of this range depending on a number of factors, including a candidate’s qualifications, skills, competencies and experience, and location. Base pay is one part of the Total Package that is provided to compensate and recognize employees for their work, and this role may be eligible for additional discretionary bonuses/incentives, and restricted stock units.
Benefits may vary depending on the nature of employment and the country work location. Employees have day one access to medical, dental, and vision insurance, a 401(k) savings plan with company match, paid parental leave, short-term and long-term disability coverage, life insurance, wellbeing benefits, among others. Employees also receive 10 paid holidays per year, 10 paid sick days per year and 17 days of Paid Personal Time (prorated upon hire with increasing accruals by tenure).
The Company reserves the right to modify or change these benefits programs at any time, with or without notice.
For Los Angeles County (unincorporated) Candidates:
Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state, and local laws including the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Our company believes that criminal history may have a direct, adverse and negative relationship on the following job duties, potentially resulting in the withdrawal of the conditional offer of employment:
1. Interacting and occasionally having unsupervised contact with internal/external clients and/or colleagues;
2. Appropriately handling and managing confidential information including proprietary and trade secret information and access to information technology systems; and
3. Exercising sound judgment.
About Us
Founded in 2012, ByteDance's mission is to inspire creativity and enrich life. With a suite of more than a dozen products, including TikTok, Lemon8, CapCut and Pico as well as platforms specific to the China market, including Toutiao, Douyin, and Xigua, ByteDance has made it easier and more fun for people to connect with, consume, and create content.
Why Join ByteDance
Inspiring creativity is at the core of ByteDance's mission. Our innovative products are built to help people authentically express themselves, discover and connect – and our global, diverse teams make that possible. Together, we create value for our communities, inspire creativity and enrich life - a mission we work towards every day.
As ByteDancers, we strive to do great things with great people. We lead with curiosity, humility, and a desire to make impact in a rapidly growing tech company. By constantly iterating and fostering an "Always Day 1" mindset, we achieve meaningful breakthroughs for ourselves, our Company, and our users. When we create and grow together, the possibilities are limitless. Join us.
Diversity & Inclusion
ByteDance is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At ByteDance, our mission is to inspire creativity and enrich life. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too.
Reasonable Accommodation
ByteDance is committed to providing reasonable accommodations in our recruitment processes for candidates with disabilities, pregnancy, sincerely held religious beliefs or other reasons protected by applicable laws. If you need assistance or a reasonable accommodation, please reach out to us at https://tinyurl.com/RA-request