Senior /Team Lead Research Engineer, AI/LLM/HPC Network
About the role
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.
TikTok is the leading destination for short-form mobile video. At TikTok, our mission is to inspire creativity and bring joy. TikTok's global headquarters are in Los Angeles and Singapore, and we also have offices in New York City, London, Dublin, Paris, Berlin, Dubai, Jakarta, Seoul, and Tokyo.
Inspiring creativity is at the core of TikTok's mission. Our innovative product is 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 bring joy - a mission we work towards every day. 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. Every challenge is an opportunity to learn and innovate as one team. We're resilient and embrace challenges as they come. 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.
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.
Benefits
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.
Pay
The base salary range for this position in the selected city is $241,680 - $456,000 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