AI Engineer (10 Week Intern)

Terra Softech; Aceh; On-site; IDR 13,392,000 - 17,856,000; Part time

Job summary

Terra Softech seeks a 10-week AI Engineer Intern for 2025. The role targets graduates with strong networking and programming foundations and offers exposure to cutting-edge AI network systems.

You will contribute to designing high-speed networks for AI/LLM workloads and assist in building scalable monitoring and diagnosis platforms. The internship emphasizes hands-on development in C/C++, Python, and Go, with opportunities to work on RDMA, congestion control, and network optimization for

Qualifications

• Current year or recent Master’s graduate in CS, electronic engineering, network engineering, or related fields.
• Proficiency in computer network and network programming.
• Familiarity with programming languages such as C/C++, Python, Go.

Responsibilities

• Design, implement and deploy high-speed network tech to support AI/LLM apps.
• Develop platforms for monitoring, analysis and diagnosis of large-scale AI/LLM networks.
• Research high-performance AI communication frameworks, network protocols, and host-network optimization.

Skills

Network programming

C/C++

Python

Education

Master's degree (CS/EE/Networks)

Job description

20 May 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.