AI Engineer (10 Week Intern)

AI Engineer (10 Week Intern)

About The Role

                  We are looking for talented individuals to join us for this future position in 2025. As a graduate, you will get unparalleled opportunities to kickstart your career, pursue bold ideas, and explore limitless growth opportunities. Co-create a future driven by your inspiration with us.

                  Key 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 networks.
                            • 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 networks.
                            • Building next generation AI network infrastructure supporting large scale heterogeneous network hardware with innovative and deployable solutions.

                            Qualifications:

                              • A current year or recent Master’s graduate with a background 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, G,o 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.