The NP Software Development Team is responsible for delivering Nota’s model optimization modules in various product formats, including SDKs, Cloud SaaS, and On-Premise desktop applications—ensuring they are robust, reliable, and production-ready. We support the seamless deployment of cutting-edge deep learning models optimized for diverse semiconductor chips, and build scalable software architectures that enable rapid productization of our technical innovations.
By joining our team, you’ll work on high-quality, extensible software solutions that keep pace with the fast-evolving AI landscape. We are looking for a full-stack engineer to join us on this journey.
📌 What You’ll Do at This Position
In this role, you’ll help bring cutting-edge deep learning models—such as LLMs, LVMs, and CV models—into real-world applications by optimizing them for a wide range of hardware environments. You’ll be responsible for implementing core model compression techniques and packaging them into streamlined Python tools, while also contributing to expanding key features into standalone services.
Our optimization technologies are delivered in various forms, including SDKs, cloud-based SaaS, and on-premise solutions. As we continue to evolve these into scalable and reliable software architectures, you'll play a key role in ensuring that GenAI models run efficiently and effectively in production environments. This is a unique opportunity to work at the intersection of cutting-edge research and practical deployment, gaining deep experience across the full stack of AI model optimization.
(Additional tasks may be assigned during the process)
The NP Software Development Team fosters an open, collaborative environment where we continuously explore flexible approaches to delivering high-quality, scalable products.
We go beyond implementation—we actively shape product architecture, ensure operational stability, and take ownership of the entire lifecycle from early tech evaluation to system design, automation, monitoring, and incorporating user feedback.
Our NP projects are directly linked to large-scale B2B and B2G initiatives, targeting not only the domestic market but also global expansion. This provides a rare opportunity to gain hands-on experience in delivering real-world GenAI solutions. You'll work closely on optimizing and productizing state-of-the-art AI models across diverse device environments, tackling challenges in software architecture and scalable service design.
If you're looking to work at the intersection of deep tech and real-world products in a fast-moving AI landscape—this is the right place for you. We look forward to your application.
🔎 Helpful materials
The NP Software Development Team is responsible for delivering Nota’s model optimization modules in various product formats, including SDKs, Cloud SaaS, and On-Premise desktop applications—ensuring they are robust, reliable, and production-ready. We support the seamless deployment of cutting-edge deep learning models optimized for diverse semiconductor chips, and build scalable software architectures that enable rapid productization of our technical innovations.
By joining our team, you’ll work on high-quality, extensible software solutions that keep pace with the fast-evolving AI landscape. We are looking for a full-stack engineer to join us on this journey.
📌 What You’ll Do at This Position
In this role, you’ll help bring cutting-edge deep learning models—such as LLMs, LVMs, and CV models—into real-world applications by optimizing them for a wide range of hardware environments. You’ll be responsible for implementing core model compression techniques and packaging them into streamlined Python tools, while also contributing to expanding key features into standalone services.
Our optimization technologies are delivered in various forms, including SDKs, cloud-based SaaS, and on-premise solutions. As we continue to evolve these into scalable and reliable software architectures, you'll play a key role in ensuring that GenAI models run efficiently and effectively in production environments. This is a unique opportunity to work at the intersection of cutting-edge research and practical deployment, gaining deep experience across the full stack of AI model optimization.
(Additional tasks may be assigned during the process)
The NP Software Development Team fosters an open, collaborative environment where we continuously explore flexible approaches to delivering high-quality, scalable products.
We go beyond implementation—we actively shape product architecture, ensure operational stability, and take ownership of the entire lifecycle from early tech evaluation to system design, automation, monitoring, and incorporating user feedback.
Our NP projects are directly linked to large-scale B2B and B2G initiatives, targeting not only the domestic market but also global expansion. This provides a rare opportunity to gain hands-on experience in delivering real-world GenAI solutions. You'll work closely on optimizing and productizing state-of-the-art AI models across diverse device environments, tackling challenges in software architecture and scalable service design.
If you're looking to work at the intersection of deep tech and real-world products in a fast-moving AI landscape—this is the right place for you. We look forward to your application.
🔎 Helpful materials