About the Job

• Designs and develops cloud-native microservice components on Kubernetes
• Builds monitoring and logging platforms for cloud-native applications
• Designs and develops Software Development Kit (SDK) of Furiosa NPUs
• Develops high-performance runtime system handling DNN inference requests
• Develops ML production softwares to manage machine learning lifecycles
• Develops internal tools and services that improve teams' productivity
• Writes API references and development documents
• HW operation tools for hyper scale datacenter, e.g. monitoring, dashboard, workbench, job scheduling server, HW resource management system, and others.
• Work on various operation tools, such as chip monitoring systems and multi-machine resource management and scheduling systems.

Minimum Qualifications

• Bachelor’s degree in Computer Science or a equivalent work experience
• Excellent communication skills for requirement gathering and clarification
• 3+ years strong programming skills in one or more of the following languages - Rust, Python, Golang, C++

Preferred Qualifications

• 2+ years experience developing cloud-native applications with Kubernetes
• 2+ years of experience building and managing microservices in AWS, Azure, GCP or Kubernetes
• Experience with ML/DNN frameworks, e.g., Tensorflow, Pytorch, Apache MXNet
• Knowledge of testing and CI/CD pipeline, e.g., Jenkins, and others
• Experience developing high-performance and highly concurrent server applications
• Experience with RDBMS, NoSQL systems and message queuing systems, such as Kafka, AWS SQS
• Experience developing production-grade softwares for customers
• Experiences in authentication & authorization methodologies, e.g., OpenID, JWT, OAuth, 802.1X, and others
• Understanding of zero trust networks

Contact

• minsup.lee@furiosa.ai