FuriosaAI

Software - Platform Engineer

Seoul, South Korea (On-site)

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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

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