Intelligent Computing Architecture and Operating System Researcher-Soaring Star Talent Program

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.
Job highlights
Positive team atmosphere, Industry experts, Competitive compensation
Responsibilities
Team Introduction:
The ByteDance System Department is responsible for the R&D, design, procurement, delivery, and operational management of the company's infrastructure ranging from chips to servers, operating systems, networks, CDNs, and data centers. It provides efficient, stable, and scalable infrastructure to support global services such as Douyin, Toutiao, and Volcano Engine.
The current areas of operation include, but are not limited to: the design and construction of data centers, chip R&D, server development, network engineering, Volcano Engine's edge-cloud services, high-performance intelligent hardware development, intelligent delivery and operation of IDC resources, intelligent monitoring and early warning of hardware infrastructure, operating systems and kernels, virtualization technologies, compilation toolchains, supply chain management, and many other infrastructure-related areas.
Project Background:
In today's digital era, with the deep integration of cloud computing, artificial intelligence, and big data technologies, modern data centers face a prominent contradiction between exponentially increasing computing demands and the efficiency bottlenecks of existing computing architectures. Traditional architectures centered on general-purpose CPUs expose numerous issues when handling diverse workloads. For example, the "memory wall" effect caused by bandwidth and latency constraints in the memory subsystem continues to intensify; data movement overhead between heterogeneous computing units exceeds actual computation time; performance overhead from secure and trusted execution environments exceeds 30%; and the improvement of compute density per rack is limited by power density thresholds. Meanwhile, emerging workloads such as AI training, graph computing, and time-series databases exhibit dynamic heterogeneous characteristics, imposing differentiated requirements on computing architectures-traditional fixed architectures find it difficult to achieve optimal energy efficiency.
As a critical software infrastructure and core technology in computer architecture, operating systems (OS) also face enormous challenges in this context. With the growth of computing demands and technological advancements, traditional homogeneous computing environments can no longer meet increasingly complex computational tasks. Modern computing scenarios feature highly heterogeneous hardware architectures, including CPUs, GPUs, FPGAs, TPUs, NPUs, DPUs, etc., while edge computing and cloud computing form distributed networks. Traditional OSes struggle to efficiently manage resources across nodes and architectures. Additionally, scenarios like AI training require low-latency, high-throughput, secure, trusted, and dynamically elastic distributed system support, necessitating that OSes possess unified abstraction and scheduling capabilities across heterogeneous resources. Both academia and industry have actively explored and researched next-generation computer OSes in areas such as distributed microkernel architectures, heterogeneous resource scheduling algorithms, cross-layer optimizations and compiler support, security and trust technologies, virtualization and Serverless, AI-driven OS kernel optimization, and OS-built-in AI inference engines.
Qualifications
1. Academic Background
Got doctor degree, preferably majoring in software engineering, computer science, mathematics, artificial intelligence, or related fields.
Strong capabilities in computer architecture; excellent coding skills, solid foundation in data structures and fundamental algorithms; proficiency in C/C++, Go, or Python.
2. Technical Proficiency
Familiar with Linux operating systems, kernel, and network-related knowledge; prior development experience in these areas is preferred. Experience in performance optimization is a plus.
3. Problem-Solving Abilities
Outstanding problem analysis and solving skills, with the ability to independently explore innovative solutions.
4. Collaboration and Communication
Strong communication and teamwork skills, capable of collaborating with cross-functional teams to explore new technologies and drive technological advancements.
5. Professional Mindset
Robust psychological resilience and adaptability, with the courage to tackle challenges and the ability to remain calm, composed, and flexible in complex situations.