Responsibilities

About the Team The Networking team brings together innovative ideas and technologies from network architecture, software defined networking (SDN), network virtualization, switch software and hardware co-design, and high-speed networking, to create hyperscale data-center networking solutions that power several of the most popular apps of the world such as Douyin and TikTok which serve hundreds of millions of users around the globe. The Networking team is responsible for designing, building, and operating the global, intelligent network infrastructure to meet the requirements of high availability, scalability, and high-performance. By joining this team, you will gain marketable software development and/or network operation experiences in data center networking at massive scale. Responsibilities: - Design, implementation and deployment of high-speed network technologies to support AI/LLM applications. - Design and development of platforms/systems for monitoring, analysis and diagnosis of large scale AI/LLM network. - Research and development of high-performance AI communication framework, network protocol stacks, and codesign optimization of host-network-application to improve the scalability, reliability and performance of AI/LLM network. - Building next generation AI network infrastructure supporting large scale heterogeneous network hardware with innovative and deployable solutions.

Qualifications

Minimum Qualifications - Bachelor or higher degree in computer science, electronic engineering, network engineering or related fields. - Proficiency in computer network and network programming. - Proficiency in one or several mainstream programming languages, including C/C++, Python, Go and so on. - Be familiar with the latest advances in the area of high-speed network systems, including RDMA, congestion control, AI network optimization and so on. Preferred Qualifications - Experience in developing high performance communication frameworks(including NCCL, MPI and RPC libraries) is a plus. - Experience in developing software systems for AI network diagnosis and performance optimization is a plus.

Job Information

[For Pay Transparency]Compensation Description (Annually)

The base salary range for this position in the selected city is $241680 - $456000 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.