👋 About the Team
The NP Platform Team ensures that Nota’s optimization modules are developed, deployed, and delivered with stability and high quality across various formats, including SDKs, Cloud-SaaS, and On-Premise Desktop Apps. We enable the latest deep learning models to run with optimized performance on diverse 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 help lead the development of sophisticated, scalable products that respond agilely to the fast-paced AI market. We are looking for a Software Engineer to join us on this journey.
📌 What You’ll Do at This Position
In this position, you will implement and productize core model compression/optimization technologies, ensuring that the latest deep learning models (LLM, LVM, CV, etc.) are optimized and serviced according to the computational characteristics of various devices.
You will simplify complex optimization processes into Python packages and participate in expanding key functions into independent services. Our optimization technology is delivered in multiple forms—SDK, Cloud-SaaS, and On-Premise—and is evolving into a scalable, stable software architecture for real-world GenAI application. Here, you will experience the full spectrum of optimization technologies that enable AI models to perform inference efficiently in actual computing environments.
✅ Key Responsibilities
- Design and automate CI/CD pipelines.
- Manage build, deployment, and versioning of SDK/library packages (PyPI, Docker Registry, etc.).
- Manage Kubernetes-based container orchestration environments.
- Build and operate automated release pipelines.
- Manage package dependencies and monitor security vulnerabilities.
- Manage and optimize GPU cluster resources.
- Build and operate monitoring, logging, and alerting systems.
- Optimize system security and costs.
- Handle incident response and improve system stability.
✅ Requirements
- 5+ years of experience as a DevOps, SRE, or Infrastructure Engineer.
- Experience in designing and operating AWS cloud services (EC2, EKS, RDS, S3, VPC, etc.).
- Experience in building and operating Kubernetes clusters.
- Experience in building Docker-based container environments.
- Experience in building CI/CD pipelines (Jenkins, GitHub Actions, ArgoCD, etc.).
- Experience in automated package build and deployment (PyPI, npm, Docker Registry, etc.).
- Proficiency in IaC tools such as Terraform or Ansible.
- Strong Linux system administration skills and shell scripting ability.
- Experience with monitoring tools (Prometheus, Grafana, ELK, etc.).
✅ Pluses
- Experience in building and operating LLMOps or MLOps pipelines.
- Experience with LLM serving infrastructure (vLLM, TGI, Triton, etc.).
- Experience in GPU cluster management and scheduling (NVIDIA GPU Operator, MIG, etc.).
- Experience in building and operating private package registries (Artifactory, Nexus, CodeArtifact, etc.).
- AWS certifications (SAA, SAP, DevOps Engineer, etc.).
- Experience in operating storage systems (Ceph, NFS, S3, etc.).
✅ Hiring Process
- Document Screening → Assignment → 1st Interview → 2nd Interview
(Additional assignments can be included during the process.)
🤓 A Message from the Team
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.
Please Check Before Applying! 👀
- This job posting is open continuously, and it may close early upon completion of the hiring process.
- Resumes that include sensitive personal information, such as salary details, may be excluded from the review process.
- Providing false information in the submitted materials may result in the cancellation of the application.
- Please be aware that references will be checked before finalizing the hiring decision.
- Compensation will be discussed separately upon successful completion of the final interview.
- There will be a probationary period after joining, and there will be no discrimination in the treatment during this period.
- To support the employment of persons with disabilities, you may optionally submit a copy of your disability registration certificate under “Additional Documents,” if administrative verification is required. Submission is optional and does not affect the evaluation process.
- Veterans and individuals with disabilities will receive preferential treatment in accordance with relevant regulations.
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