The NP Software Development Team ensures that Nota’s optimization modules are developed, deployed, and delivered with high stability and polish across various product formats—including SDKs, Cloud-SaaS platforms, and On-Premise desktop applications. We support the latest deep learning models to run with optimal performance on a wide range of semiconductor hardware, and we build scalable software architectures that allow these technical advancements to be rapidly integrated into our products.
By joining our team, you will help drive the development of robust, scalable AI products that respond swiftly to the fast-evolving AI landscape. We are looking for a senior software engineer to join us on this exciting journey.
You will be responsible for implementing and productizing core model-compression technologies so that state-of-the-art models—including LLMs, LVMs, and CV models—can be optimized and delivered across devices with diverse computational characteristics.
You will help simplify complex optimization workflows into Python packages, while also extending key features into standalone services. These optimization technologies are delivered across SDK, Cloud-SaaS, and On-Premise environments, and we are advancing our architecture to ensure the scalability and reliability required for GenAI models in real-world applications.
Through this role, you will gain end-to-end experience in enabling AI models to perform efficient inference in practical computing environments.
(Additional assignments may be included during the process.)
The NP Software Development Team is committed to building a flexible and collaborative development culture that enables us to deliver diverse products quickly and reliably. We go beyond simple implementation—leading discussions on productizing optimization technologies, ensuring operational stability, and pursuing technical excellence and scalability. From early technical evaluations to system design, automation, metric monitoring, and customer-feedback integration, you will experience the full product lifecycle with us.
The NP project is closely tied to large-scale B2B and B2G initiatives targeting not only the domestic market but the global stage. This provides an ideal environment for gaining hands-on experience in deploying state-of-the-art AI models into real services. As we optimize GenAI models for various device environments, we tackle architectural and scalability challenges together. If you want to build products that balance cutting-edge technology with practical service stability in a rapidly changing AI landscape, we encourage you to apply.
The NP Software Development Team ensures that Nota’s optimization modules are developed, deployed, and delivered with high stability and polish across various product formats—including SDKs, Cloud-SaaS platforms, and On-Premise desktop applications. We support the latest deep learning models to run with optimal performance on a wide range of semiconductor hardware, and we build scalable software architectures that allow these technical advancements to be rapidly integrated into our products.
By joining our team, you will help drive the development of robust, scalable AI products that respond swiftly to the fast-evolving AI landscape. We are looking for a senior software engineer to join us on this exciting journey.
You will be responsible for implementing and productizing core model-compression technologies so that state-of-the-art models—including LLMs, LVMs, and CV models—can be optimized and delivered across devices with diverse computational characteristics.
You will help simplify complex optimization workflows into Python packages, while also extending key features into standalone services. These optimization technologies are delivered across SDK, Cloud-SaaS, and On-Premise environments, and we are advancing our architecture to ensure the scalability and reliability required for GenAI models in real-world applications.
Through this role, you will gain end-to-end experience in enabling AI models to perform efficient inference in practical computing environments.
(Additional assignments may be included during the process.)
The NP Software Development Team is committed to building a flexible and collaborative development culture that enables us to deliver diverse products quickly and reliably. We go beyond simple implementation—leading discussions on productizing optimization technologies, ensuring operational stability, and pursuing technical excellence and scalability. From early technical evaluations to system design, automation, metric monitoring, and customer-feedback integration, you will experience the full product lifecycle with us.
The NP project is closely tied to large-scale B2B and B2G initiatives targeting not only the domestic market but the global stage. This provides an ideal environment for gaining hands-on experience in deploying state-of-the-art AI models into real services. As we optimize GenAI models for various device environments, we tackle architectural and scalability challenges together. If you want to build products that balance cutting-edge technology with practical service stability in a rapidly changing AI landscape, we encourage you to apply.