Software Development Engineer-AI/LLM Network-Global Frontier Tech Recruitment Program-2027 Start (PhD)

About the role

We are looking for talented individuals to join our team in 2027. As a graduate, you will get opportunities to pursue bold ideas, tackle complex challenges, and unlock limitless growth. Launch your career where inspiration is infinite at our Company.

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

• Individuals who are completing or recently completed a PhD in Software Development, Computer Science, Computer Engineering, or a related technical discipline.
• 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.
• 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.

Topic Content

With the large-scale adoption of LLMs and AI agents, traditional cloud-native infrastructure can no longer meet the ultra-high performance and elasticity requirements of AI workloads. Network and Observability: Research intelligent fault localization and root cause analysis for large-scale AI clusters, combined with intelligent tuning of time-series databases to improve cluster stability. This topic aims to build a next-generation AI-native infrastructure to support the deployment of LLMs and AI agents, improve resource utilization, reduce costs, support elastic scaling, and drive the technological evolution of AI infrastructure.

Job Information

• [For Pay Transparency] Compensation Description (Annually): The base salary range for this position in the selected city is $212800 - $450000 annually. Compensation may vary depending on a number of factors, including a candidate’s qualifications, skills, competencies and experience, and location.
• 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).