AI Platform Specialist (Intern)

• About Lablup

  We are a company providing machine learning platforms and solutions under the motto 'Make AI Accessible'. Lablup strives to solve various problems that arise when sharing scientific and engineering research processes through a standardized platform, and automates all stages of research and service. We develop and service Backend.AI to realize this vision. Backend.AI, a hyperscale AI platform, reduces the difficulties in developing and serving various AI models, from small-scale AI models to large language models.

• About the Position

  Lablup develops Backend.AI, an AI infrastructure operations platform. Alongside Backend.AI R&D, we research a wide range of hardware and software optimizations to improve the computational efficiency of AI workloads. The scope of this optimization is broad: on the software side, from the Linux kernel and system calls up to application layers such as MLXcel, and on the hardware side, from high-bandwidth RDMA networks to a variety of heterogeneous AI accelerators (GPUs, NPUs, LPUs, and more).

  We are looking for someone who will get hands-on with a wide range of hardware, including high-bandwidth networks, distributed storage, AI accelerators, and servers, and drive more efficient AI computation through R&D on our testbed. You will also work and communicate with Lablup’s technology partners, who span many fields in the pursuit of advancing AI computation, and collaborate with them on research topics.

  This position does not require a narrow understanding of specific AI computing technologies (even those listed below). Instead, we look for someone who enjoys a wide range of interests in AI computation and the broader IT industry, and who finds even unfamiliar IT-related fields exciting and fun to research. We also value communication and writing skills strong enough to explain what you have learned clearly and logically to a broad audience with varying levels of background knowledge.

  The AI Platform Specialist role is the first step toward growing into an AI Platform Architect who designs the entire AI platform, spanning hardware, software, technology partners, and internal teams. During this internship, you will experience all four of these areas firsthand.

• Key Responsibilities
  • Operate the equipment in our AI computing testbed with a mentor and conduct R&D on top of it
    • RoCE switches, network cards, and transceivers at 100 Gbps and above
    • InfiniBand switches, network cards, and transceivers at 400 Gbps and above
    • The latest heterogeneous AI accelerators (NVIDIA Volta through Rubin, Furiosa RNGD, Intel Arc, and many more)
    • The latest heterogeneous distributed network storage (VAST Data, Lustre, Weka, CephFS, and many more)
    • CPU servers for agentic workflow R&D
  • Track trends in next-generation and heterogeneous AI accelerators, networking technologies, and software optimization, and conduct research and PoCs for integration with Backend.AI
  • Prepare materials and support communication in Lablup’s interactions with technology partners
  • Lead internal activities that bridge the gap in technical understanding between technical and non-technical teams
• Qualifications
  • Deep interest in all areas of the latest IT technology, regardless of the specifics (from semiconductor devices to mobile devices to high-bandwidth networks)
  • Excellent communication skills, including explaining technical content in a way that suits your audience
  • Ability to quickly grasp the core of a problem and propose possible solutions yourself
  • The urge to get your hands on the actual equipment and try out new technology whenever you come across it
  • Enjoyment in working on several different kinds of tasks at the same time
  • Comfortable reading technical documents and communicating in English

  * We value broad interest and the ability to pick things up quickly over deep expertise in a specific field.

• Preferred Qualifications
  • Experience sharing your work publicly through writing or talks (tech blogs, community activities, etc.)
  • Experience setting up your own environment, such as a home lab or side project
  • Experience working in Linux environments
  • Experience with at least one of GPUs, accelerators, or high-speed networks
• Working Conditions & Benefits
  • Work at Lablup HQ (1 minute from Seonjeongneung Station)
  • 5 days a week, 8 hours a day (10:00–19:00)
  • One day off per month during the internship
  • Opportunities to join developer communities and events
  • Active encouragement of open-source contributions
  • Lunch provided
  • Delicious snacks always available
• Internship Information
  • Hiring process
    • Document Screening > Interview > Final Offer
    • Applications: open until the position is filled
  • This is a 3-month internship.
    • The start date and other details of the internship period will be agreed upon after the offer.
    • The internship period may be extended by mutual agreement.
  • This position is hired separately from the 2026 Winter Internship, with a different recruitment schedule and internship period.
    • You may also apply to the 2026 Winter Internship; in that case, the two hiring processes run independently.
  • This internship is not a conversion-track internship, and a full-time offer is not guaranteed. However, outstanding interns may be offered the opportunity to join full-time.