The NP Platform Team is responsible for ensuring that Nota’s optimization modules are developed, deployed, and delivered reliably in various forms, including SDKs, Cloud-SaaS, and On-Premise Desktop Apps. We enable the latest deep learning models to perform optimally across various semiconductor chips and build scalable software architectures so that these technical achievements can be rapidly integrated into our products.
By joining our team, you will lead the development of high-quality, scalable products that can respond agilely to the fast-paced AI market. We are looking for a software engineer to join us on this journey.
In this position, you will play a key role in implementing and productizing core lightweighting technologies as software, ensuring that the latest deep learning models—such as LLMs, LVMs, and CV—are optimized for the computational characteristics of various devices.
You will simplify complex optimization processes into Python packages and participate in scaling core functions into independent services. Our lightweighting technology is delivered through various product types (SDK, Cloud-SaaS, On-Premise) and is being evolved into a scalable and stable software architecture for real-world deployment of GenAI models. Through this, you will experience the full spectrum of optimization technologies that enable AI models to perform efficient inference in actual computing environments.
(Additional assignments can be included during the process.)
The NP Platform Team fosters a flexible development culture based on active discussion and collaboration to deliver various products quickly and reliably. Moving beyond simple implementation, we take ownership of productizing optimization technologies and ensuring operational stability, pursuing both technical excellence and service scalability. You will experience the entire lifecycle—from early-stage technical review to system design, automation, monitoring, and reflecting customer feedback.
The NP project is linked to large-scale B2B and B2G businesses targeting the global market. It is an ideal environment to gain hands-on experience in bringing the latest AI models to life in real-world services. We are currently tackling challenges in software architecture and scalability as we productize GenAI models for diverse device environments. If you are passionate about balancing technology and product in the rapidly evolving AI market, please do not hesitate to apply.
🔎 Helpful materials
The NP Platform Team is responsible for ensuring that Nota’s optimization modules are developed, deployed, and delivered reliably in various forms, including SDKs, Cloud-SaaS, and On-Premise Desktop Apps. We enable the latest deep learning models to perform optimally across various semiconductor chips and build scalable software architectures so that these technical achievements can be rapidly integrated into our products.
By joining our team, you will lead the development of high-quality, scalable products that can respond agilely to the fast-paced AI market. We are looking for a software engineer to join us on this journey.
In this position, you will play a key role in implementing and productizing core lightweighting technologies as software, ensuring that the latest deep learning models—such as LLMs, LVMs, and CV—are optimized for the computational characteristics of various devices.
You will simplify complex optimization processes into Python packages and participate in scaling core functions into independent services. Our lightweighting technology is delivered through various product types (SDK, Cloud-SaaS, On-Premise) and is being evolved into a scalable and stable software architecture for real-world deployment of GenAI models. Through this, you will experience the full spectrum of optimization technologies that enable AI models to perform efficient inference in actual computing environments.
(Additional assignments can be included during the process.)
The NP Platform Team fosters a flexible development culture based on active discussion and collaboration to deliver various products quickly and reliably. Moving beyond simple implementation, we take ownership of productizing optimization technologies and ensuring operational stability, pursuing both technical excellence and service scalability. You will experience the entire lifecycle—from early-stage technical review to system design, automation, monitoring, and reflecting customer feedback.
The NP project is linked to large-scale B2B and B2G businesses targeting the global market. It is an ideal environment to gain hands-on experience in bringing the latest AI models to life in real-world services. We are currently tackling challenges in software architecture and scalability as we productize GenAI models for diverse device environments. If you are passionate about balancing technology and product in the rapidly evolving AI market, please do not hesitate to apply.
🔎 Helpful materials